Francesco Mercaldo

Comput., June, 2024

Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Int. J. Neural Syst., February, 2024

Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study.

[BibT_eX]

[DOI]

EAI Endorsed Trans. Pervasive Health Technol., 2024

MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

A Proposal for Privacy-preserving Ransomware Detection by means of Federated Machine Learning.

[BibT_eX]

[DOI]

Giovanni Ciaramella

ERCIM News, 2024

Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2024

An automatic radiomic-based approach for disease localization: A pilot study on COVID-19.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2024

On the Adoption of Explainable Deep Learning for Image-Based Network Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, 2024

Leveraging Deep Learning for Intrusion Detection in IoT Through Visualized Network Data.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Security and Cryptography, 2024

Reliable Leukemia diagnosis and localization through Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Intelligent Data Science Technologies and Applications, 2024

Egyptian Hieroglyphs Localisation Through Object Detection.

[BibT_eX]

[DOI]

Lucia Lombardi

Proceedings of the 19th International Conference on Software Technologies, 2024

Cybersecurity-Related Tweet Classification by Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024

An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Evaluating the Impact of Generative Adversarial Network in Android Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, 2024

Security Policy Generation and Verification through Large Language Models: A Proposal.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

DroidDefender: An Image-based Android Antimalware Proof-of-Concept.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Formal Methods for Attack Detection in Autonomous Driving Systems: The FORESEEN Project.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation.

[BibT_eX]

[DOI]

Sensors, September, 2023

Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2023

Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2023

A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

A Novel Classification Technique based on Formal Methods.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Water Meter Reading for Smart Grid Monitoring.

[BibT_eX]

[DOI]

Sensors, 2023

A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments.

[BibT_eX]

[DOI]

Int. J. Data Min. Model. Manag., 2023

TriAD: A Deep Ensemble Network for Alzheimer Classification and Localization.

[BibT_eX]

[DOI]

IEEE Access, 2023

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Security and Cryptography, 2023

A Machine Learning approach to classify ventilatory efficiency.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Explainable Deep Learning for Brain Cancer Detection and Localisation.

[BibT_eX]

[DOI]

Mario Cesarelli

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Object Detection and Localisation in Thermal Images by means of UAV/Drone.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Damage Detection and Localisation using UAV/ Drone with Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Explainable Deep Learning for Face Mask Detection.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Exploring Quantum Machine Learning for Explainable Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

An Explainable Convolutional Neural Network for Dynamic Android Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

A Fuzzy Deep Learning Network for Dynamic Mobile Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Image-Based Malware Detection Through a Deep Neuro-Fuzzy Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Evaluating Fuzzy Machine Learning for Smart Grid Instability Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

A Driver Detection Method by Means of Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

Computational cost of CT Radiomics workflow: a case study on COVID-19.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Data Poisoning Attacks over Diabetic Retinopathy Images Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

A Proposal for Trustworthy Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Explainable Deep Learning for Smart Grid Stability Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Obfuscated Mobile Malware Detection by Means of Dynamic Analysis and Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

2022

2Faces: a new model of malware based on dynamic compiling and reflection.

[BibT_eX]

[DOI]

J. Comput. Virol. Hacking Tech., 2022

Formal Equivalence Checking for Mobile Malware Detection and Family Classification.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2022

Driver Identification Through Formal Methods.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

FABNet: Fusion Attention Block and Transfer Learning for Laryngeal Cancer Tumor Grading in P63 IHC Histopathology Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Machine Learning on Soccer Player Positions.

[BibT_eX]

[DOI]

Int. J. Decis. Support Syst. Technol., 2022

Smart sensors in vehicular communication networks: Principles, algorithms, systems and applications.

[BibT_eX]

[DOI]

Int. J. Commun. Syst., 2022

Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection.

[BibT_eX]

[DOI]

Giacomo Iadarola

ERCIM News, 2022

Explainability of radiomics through formal methods.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

A novel methodology for head and neck carcinoma treatment stage detection by means of model checking.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2022

Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps.

[BibT_eX]

[DOI]

Proceedings of the Security and Trust Management - 18th International Workshop, 2022

A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Security and Cryptography, 2022

A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Security and Cryptography, 2022

Timed Automata Networks for SCADA Attacks Real-Time Mitigation.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Decision Technologies, 2022

A Method for Intrusion Detection in Smart Grid.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Drone Audio recognition based on Machine Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

High Grade Brain Cancer Segmentation by means of Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

A Model Checking-based Approach to Malicious Family Detection in iOS Environment.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep learning for blood cells classification and localisation.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Machine Vision, 2022

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

COVID-19 Detection from Cough Recording by means of Explainable Deep Learning.

[BibT_eX]

[DOI]

Mario Cesarelli

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

On the Influence of Image Settings in Deep Learning-based Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

Designing Robust Deep Learning Classifiers for Image-based Malware Analysis.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Explainable Deep Learning Methodologies for Biomedical Images Classification.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Automatic Gleason Score Diagnosis with Fuzzy Classification and Radiomic Features.

[BibT_eX]

[DOI]

Luca Brunese

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Emotion Recognition from Facial Expression using Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Vulnerable Smart Contract Detection by Means of Model Checking.

[BibT_eX]

[DOI]

Proceedings of the BSCI 2022: Proceedings of the 4th ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2022

Blood Cells Counting and Localisation through Deep Learning Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Smart Grid monitoring through Deep Learning for Image-based Automatic Dial Meter Reading.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Machine Learning for Uterine Cervix Screening.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification.

[BibT_eX]

[DOI]

Mario Cesarelli

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

Explainable Deep Learning for Alzheimer Disease Classification and Localisation.

[BibT_eX]

[DOI]

AII, 2022

Introducing Quantum Computing in Mobile Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Audio signal processing for Android malware detection and family identification.

[BibT_eX]

[DOI]

J. Comput. Virol. Hacking Tech., 2021

A framework for supporting ransomware detection and prevention based on hybrid analysis.

[BibT_eX]

[DOI]

J. Comput. Virol. Hacking Tech., 2021

CAN-Bus Attack Detection With Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Dynamic Mobile Malware Detection through System Call-based Image representation.

[BibT_eX]

[DOI]

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021

Transfer learning for mobile real-time face mask detection and localization.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

Towards an interpretable deep learning model for mobile malware detection and family identification.

[BibT_eX]

[DOI]

Comput. Secur., 2021

Mobile Family Detection through Audio Signals Classification.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Security and Cryptography, 2021

Automated Intention Mining with Comparatively Fine-tuning BERT.

[BibT_eX]

[DOI]

Proceedings of the NLPIR 2021: 5th International Conference on Natural Language Processing and Information Retrieval, Sanya, China, December 17, 2021

Detecting Call Indirection Obfuscation through Equivalence Checking in Android environment.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Exploiting Supervised Machine Learning for Driver Detection in a Real-World Environment.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

A Method for Automatic Penetration Testing and Mitigation: A Red Hat Approach.

[BibT_eX]

[DOI]

Eric Filiol

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Android Collusion Detection by means of Audio Signal Analysis with Machine Learning techniques.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Perturbation of Image-based Malware Detection with Smali level morphing techniques.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

A Proposal to Ensure Social Distancing with Deep Learning-based Object Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Thermal Ablation Treatment Detection by means of Machine Learning.

[BibT_eX]

[DOI]

Luca Brunese

Giuseppe Peter Vanoli

Proceedings of the International Joint Conference on Neural Networks, 2021

Colluding Covert Channel for Malicious Information Exfiltration in Android Environment.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

A Machine-Learning-Based Framework for Supporting Malware Detection and Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

A Neural-Network-Based Framework for Supporting Driver Classification and Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Hide and Seek Game: A Machine Learning Approach for Detecting Malicious Samples in Analysis Environment.

[BibT_eX]

[DOI]

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

Robust Malware Classification via Deep Graph Networks on Call Graph Topologies.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Towards Resilient Artificial Intelligence: Survey and Research Issues.

[BibT_eX]

[DOI]

Oliver Eigner

Sebastian Eresheim

Peter Kieseberg

Lukas Daniel Klausner

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

A Methodology based on Formal Methods for Thermal Ablation Area Detection.

[BibT_eX]

[DOI]

Luca Brunese

Giuseppe Peter Vanoli

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

SteælErgon: A Framework for Injecting Colluding Malicious Payload in Android Applications.

[BibT_eX]

[DOI]

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Deep learning for image-based mobile malware detection.

[BibT_eX]

[DOI]

J. Comput. Virol. Hacking Tech., 2020

Model checking and machine learning techniques for HummingBad mobile malware detection and mitigation.

[BibT_eX]

[DOI]

Simul. Model. Pract. Theory, 2020

Radiomics for Gleason Score Detection through Deep Learning.

[BibT_eX]

[DOI]

Sensors, 2020

DECAB-LSTM: Deep Contextualized Attentional Bidirectional LSTM for cancer hallmark classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

D-BRIDEMAID: A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware.

[BibT_eX]

[DOI]

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020

Visualizing the outcome of dynamic analysis of Android malware with VizMal.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2020

Anomaly detection in substation networks.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2020

Android Collusion: Detecting Malicious Applications Inter-Communication through SharedPreferences.

[BibT_eX]

[DOI]

Inf., 2020

BPM perspectives to support ICSs: Exploiting the integration of formal verifications into investment service provision processes.

[BibT_eX]

[DOI]

Ind. Manag. Data Syst., 2020

Cognitive computing for big data systems over internet of things for enterprise information systems.

[BibT_eX]

[DOI]

Enterp. Inf. Syst., 2020

Timed Automata for Mobile Ransomware Detection.

[BibT_eX]

[DOI]

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2020

Model checking for malicious family detection and phylogenetic analysis in mobile environment.

[BibT_eX]

[DOI]

Mario G. C. A. Cimino

Nicoletta De Francesco

Gigliola Vaglini

Comput. Secur., 2020

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2020

An ensemble learning approach for brain cancer detection exploiting radiomic features.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2020

Human behavior characterization for driving style recognition in vehicle system.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2020

Machine Learning for Driver Detection through CAN bus.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

A Deep-Learning-Based Framework for Supporting Analysis and Detection of Attacks on CAN Buses.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Machine learning for coronavirus covid-19 detection from chest x-rays.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Deep learning for heart disease detection through cardiac sounds.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Evaluating Deep Learning Classification Reliability in Android Malware Family Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Internet of Things, 2020

Hourly Global Solar Radiation Reconstruction Applying Machine Learning.

[BibT_eX]

[DOI]

Francesco Tariello

Giuseppe Peter Vanoli

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Malicious Collusion Detection in Mobile Environment by means of Model Checking.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Identify Potential Attacks from Simulated Log Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Bank Credit Risk Management based on Data Mining Techniques.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

Android Run-time Permission Exploitation User Awareness by Means of Formal Methods.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

Accidental Sensitive Data Leaks Prevention via Formal Verification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

Predicting Probability of Default Under IFRS 9 Through Data Mining Techniques.

[BibT_eX]

[DOI]

Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

Code Reordering Obfuscation Technique Detection by Means of Weak Bisimulation.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2020

Colluding Android Apps Detection via Model Checking.

[BibT_eX]

[DOI]

Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

Towards the Use of Generative Adversarial Neural Networks to Attack Online Resources.

[BibT_eX]

[DOI]

Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

VisualDroid: automatic triage and detection of Android repackaged applications.

[BibT_eX]

[DOI]

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019

LEILA: Formal Tool for Identifying Mobile Malicious Behaviour.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2019

Cognitive data science methods and models for engineering applications.

[BibT_eX]

[DOI]

Soft Comput., 2019

A "pay-how-you-drive" car insurance approach through cluster analysis.

[BibT_eX]

[DOI]

Maria Francesca Carfora

Soft Comput., 2019

Android malware detection based on system call sequences and LSTM.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Model Checking Based Approach for Compliance Checking.

[BibT_eX]

[DOI]

Inf. Technol. Control., 2019

Dynamic malware detection and phylogeny analysis using process mining.

[BibT_eX]

[DOI]

Int. J. Inf. Sec., 2019

Classification of ransomware families with machine learning based on N-gram of opcodes.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

On the effectiveness of system API-related information for Android ransomware detection.

[BibT_eX]

[DOI]

Michele Scalas

Davide Maiorca

Giorgio Giacinto

Comput. Secur., 2019

Prostate Gleason Score Detection and Cancer Treatment Through Real-Time Formal Verification.

[BibT_eX]

[DOI]

IEEE Access, 2019

Real-Time SCADA Attack Detection by Means of Formal Methods.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

Wearable Devices for Human Activity Recognition and User Detection.

[BibT_eX]

[DOI]

Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Energy Consumption Metrics for Mobile Device Dynamic Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Model Checking for Data Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Dunuen: A User-Friendly Formal Verification Tool.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Formal Modeling for Magnetic Resonance Images Tamper Mitigation.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Radiomic Features for Medical Images Tamper Detection by Equivalence Checking.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

A Blockchain Based Proposal for Protecting Healthcare Systems through Formal Methods.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Exploiting Model Checking for Mobile Botnet Detection.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Formal Methods for Android Banking Malware Analysis and Detection.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019

Social Network Polluting Contents Detection through Deep Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Neural Networks for Lung Cancer Detection through Radiomic Features.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Keystroke Analysis for User Identification using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Machine Learning to Identify Gender via Hair Elements.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

A machine-learning framework for supporting intelligent web-phishing detection and analysis.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

Model Checking to Detect the Hummingbad Malware.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Distributed Computing XIII, 2019

Spyware Detection using Temporal Logic.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

An Innovative Framework for Supporting Social Network Polluting-content Detection and Analysis.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

Can Machine Learning Predict Soccer Match Results?

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Investigating Mobile Applications Quality in Official and Third-party Marketplaces.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019

A Data Life Cycle Modeling Proposal by Means of Formal Methods.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A Model Checking based Proposal for Mobile Colluding Attack Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

An exploratory study on the evolution of Android malware quality.

[BibT_eX]

[DOI]

Andrea Di Sorbo

Aniello Cimitile

J. Softw. Evol. Process., 2018

Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments.

[BibT_eX]

[DOI]

J. Reliab. Intell. Environ., 2018

Evaluating model checking for cyber threats code obfuscation identification.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2018

Cross-Organisational Process Mining in Cloud Environments.

[BibT_eX]

[DOI]

Mario Luca Bernardi

Marta Cimitile

J. Inf. Knowl. Manag., 2018

Talos: no more ransomware victims with formal methods.

[BibT_eX]

[DOI]

Int. J. Inf. Sec., 2018

R-PackDroid: Practical On-Device Detection of Android Ransomware.

[BibT_eX]

[DOI]

Michele Scalas

Davide Maiorca

Giorgio Giacinto

CoRR, 2018

Safety Critical Systems Formal Verification Using Execution Traces.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2018

Improving Vehicle Safety Through a Fog Collaborative Infrastructure.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Real-Time Driver Behaviour Characterization Through Rule-Based Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security, 2018

Context-Awareness Mobile Devices for Traffic Incident Prevention.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Driver Identification: a Time Series Classification Approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Applying Machine Learning Techniques to Detect and Analyze Web Phishing Attacks.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, 2018

Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Cluster Analysis for Driver Aggressiveness Identification.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Who's Driving My Car? A Machine Learning based Approach to Driver Identification.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Identifying Insecure Features in Android Applications using Model Checking.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

VizMal: A Visualization Tool for Analyzing the Behavior of Android Malware.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Impact of Code Obfuscation on Android Malware Detection based on Static and Dynamic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Phylogenetic Analysis for Ransomware Detection and Classification into Families.

[BibT_eX]

Christina Michailidou

Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

Not so Crisp, Malware! Fuzzy Classification of Android Malware Classes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Novel Structural-Entropy-based Classification Technique for Supporting Android Ransomware Detection and Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

POSTER: A Framework for Phylogenetic Analysis in Mobile Environment.

[BibT_eX]

[DOI]

Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018

Measuring Mobile Applications Quality and Security in Higher Education.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Improving Machine Learning Tools with Embeddings: Applications to Big Data Security.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Formal Methodology for Notational Analysis and Real-Time Decision Support in Sport Environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Detection of Obfuscation Techniques in Android Applications.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017

A time series classification approach to game bot detection.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

Formal Methods Meet Mobile Code Obfuscation Identification of Code Reordering Technique.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Android apps and user feedback: a dataset for software evolution and quality improvement.

[BibT_eX]

[DOI]

Giovanni Grano

Andrea Di Sorbo

Sebastiano Panichella

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, 2017

Mobile Silent and Continuous Authentication using Apps Sequence.

[BibT_eX]

[DOI]

Ernesto Rosario Russo

Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017

R-PackDroid: API package-based characterization and detection of mobile ransomware.

[BibT_eX]

[DOI]

Davide Maiorca

Giorgio Giacinto

Proceedings of the Symposium on Applied Computing, 2017

A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware.

[BibT_eX]

[DOI]

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Evaluating Convolutional Neural Network for Effective Mobile Malware Detection.

[BibT_eX]

[DOI]

Fiammetta Marulli

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

A Machine Learning Approach for Game Bot Detection Through Behavioural Features.

[BibT_eX]

[DOI]

Proceedings of the Software Technologies - 12th International Joint Conference, 2017

Game Bot Detection in Online Role Player Game through Behavioural Features.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Software Technologies, 2017

Model Checking for Mobile Android Malware Evolution.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE/ACM International FME Workshop on Formal Methods in Software Engineering, 2017

Identifying Mobile Repackaged Applications through Formal Methods.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

Machine Learning Meets iOS Malware: Identifying Malicious Applications on Apple Environment.

[BibT_eX]

[DOI]

Aniello Cimitile

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

Car hacking identification through fuzzy logic algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A fuzzy-based process mining approach for dynamic malware detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Practice of Security - 10th International Symposium, 2017

BRIDEMAID: An Hybrid Tool for Accurate Detection of Android Malware.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

How Discover a Malware using Model Checking.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

Tor traffic analysis and detection via machine learning techniques.

[BibT_eX]

[DOI]

Gianni Viardo Vercelli

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Let's Gossip: Exploring Malware Zero-Day Time Windows by Social Network Analysis.

[BibT_eX]

[DOI]

Fiammetta Marulli

Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017

Malware and Formal Methods: Rigorous Approaches for detecting Malicious Behaviour.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Availability, Reliability and Security, Reggio Calabria, Italy, August 29, 2017

2016

An HMM and structural entropy based detector for Android malware: An empirical study.

[BibT_eX]

[DOI]

Comput. Secur., 2016

Hey Malware, I Can Find You!

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2016

Silent and Continuous Authentication in Mobile Environment.

[BibT_eX]

[DOI]

Paolo Di Notte

Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016), 2016

How I Met Your Mother? - An Empirical Study about Android Malware Phylogenesis.

[BibT_eX]

[DOI]

Antonio Pirozzi

Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016), 2016

I find your behavior disturbing: Static and dynamic app behavioral analysis for detection of Android malware.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

A constraint-driven approach for dynamic malware detection.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

Exploring Mobile User Experience Through Code Quality Metrics.

[BibT_eX]

[DOI]

Andrea Di Sorbo

Proceedings of the Product-Focused Software Process Improvement, 2016

Mobile malware detection in the real world.

[BibT_eX]

[DOI]

Aniello Cimitile

Proceedings of the 38th International Conference on Software Engineering, 2016

Download malware? no, thanks: how formal methods can block update attacks.

[BibT_eX]

[DOI]

Proceedings of the 4th FME Workshop on Formal Methods in Software Engineering, 2016

Identification of Android Malware Families with Model Checking.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Information Systems Security and Privacy, 2016

A Methodology for Silent and Continuous Authentication in Mobile Environment.

[BibT_eX]

[DOI]

Paolo Di Notte

Proceedings of the E-Business and Telecommunications - 13th International Joint Conference, 2016

Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code.

[BibT_eX]

[DOI]

Mario Luca Bernardi

Marta Cimitile

Proceedings of the Fourth International Symposium on Computing and Networking, 2016

Ransomware Steals Your Phone. Formal Methods Rescue It.

[BibT_eX]

[DOI]

Proceedings of the Formal Techniques for Distributed Objects, Components, and Systems, 2016

Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM on International Workshop on Security And Privacy Analytics, 2016

Ransomware Inside Out.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Availability, Reliability and Security, 2016

Exploring the Usage of Topic Modeling for Android Malware Static Analysis.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Availability, Reliability and Security, 2016

Spotting the Malicious Moment: Characterizing Malware Behavior Using Dynamic Features.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Availability, Reliability and Security, 2016

2015

Detecting Android malware using sequences of system calls.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile, 2015

Mobile Malware Detection using Op-code Frequency Histograms.

[BibT_eX]

[DOI]

Proceedings of the SECRYPT 2015, 2015

Evaluating Mobile Malware by Extracting User Experience-Based Features.

[BibT_eX]

[DOI]

Proceedings of the Product-Focused Software Process Improvement, 2015

Evaluating Op-Code Frequency Histograms in Malware and Third-Party Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the E-Business and Telecommunications - 12th International Joint Conference, 2015

Composition-Malware: Building Android Malware at Run Time.

[BibT_eX]

[DOI]

Giovanni Moriano

Proceedings of the 10th International Conference on Availability, Reliability and Security, 2015

Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Availability, Reliability and Security, 2015

2014

Metamorphic Malware Detection Using Code Metrics.

[BibT_eX]

[DOI]

Paolo Di Notte

Inf. Secur. J. A Glob. Perspect., 2014

Malicious JavaScript Detection by Features Extraction.

[BibT_eX]

[DOI]

e Informatica Softw. Eng. J., 2014

Detection of Malicious Web Pages Using System Calls Sequences.

[BibT_eX]

[DOI]

Proceedings of the Availability, Reliability, and Security in Information Systems, 2014

2013

Identification of Anomalies in Processes of Database Alteration.

[BibT_eX]

[DOI]

Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

A Case Study of Automating User Experience-Oriented Performance Testing on Smartphones.

[BibT_eX]

[DOI]

Mauro D'Angelo

Antonio Furno

Carminantonio Manganelli

Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

A Classifier of Malicious Android Applications.

[BibT_eX]

[DOI]