Fabio Di Troia

According to our database, Fabio Di Troia authored at least 55 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A comparison of adversarial malware generators.

Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia

J. Comput. Virol. Hacking Tech., November, 2024

Creating valid adversarial examples of malware.

Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia

J. Comput. Virol. Hacking Tech., November, 2024

Classification and online clustering of zero-day malware.

Olha Jurecková, Martin Jurecek, Mark Stamp, Fabio Di Troia, Róbert Lórencz

J. Comput. Virol. Hacking Tech., November, 2024

An Advanced Malware Detection System Based on NLP to Generate Genetic Markers.

Quang Duy Tran, Jaehyun Lim, Fabio Di Troia

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023

Generative adversarial networks and image-based malware classification.

Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp

J. Comput. Virol. Hacking Tech., November, 2023

Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo.

Aparna Sunil Kale, Vinay Pandya, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., March, 2023

Advancement on Security Applications of Private Intersection Sum Protocol.

Yuvaray Athur Raghuvir, Senthil Govindarajan, Sanjeevi Vijayakumar, Pradeep Yadlapalli, Fabio Di Troia

CoRR, 2023

Hidden Markov Models with Random Restarts vs Boosting for Malware Detection.

Aditya Raghavan, Fabio Di Troia, Mark Stamp

CoRR, 2023

Malware Detection through Contextualized Vector Embeddings.

Vinay Pandya, Fabio Di Troia

Proceedings of the Silicon Valley Cybersecurity Conference, 2023

Enhancing Malware Detection Using "Genetic Markers" and Machine Learning.

Jaehyun Lim, Quang Duy Tran, Fabio Di Troia

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Hidden Markov Models with Momentum.

Andrew Miller, Fabio Di Troia, Mark Stamp

CoRR, 2022

Robustness of Image-Based Malware Analysis.

Katrina Tran, Fabio Di Troia, Mark Stamp

Proceedings of the Silicon Valley Cybersecurity Conference - Third Conference, 2022

Word Embeddings for Fake Malware Generation.

Quang Duy Tran, Fabio Di Troia

Proceedings of the Silicon Valley Cybersecurity Conference - Third Conference, 2022

Twitter Bots' Detection with Benford's Law and Machine Learning.

Sanmesh Bhosale, Fabio Di Troia

Proceedings of the Silicon Valley Cybersecurity Conference - Third Conference, 2022

A Blockchain-Based Tamper-Resistant Logging Framework.

Thomas H. Austin, Fabio Di Troia

Proceedings of the Silicon Valley Cybersecurity Conference - Third Conference, 2022

NLP-based User Authentication through Mouse Dynamics.

Hoseong Asher Lee, Nikhil Prathapani, Rajesh Paturi, Sarp Parmaksiz, Fabio Di Troia

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

Profile Hidden Markov Model Malware Detection and API Call Obfuscation.

Muhammad Ali, Monem Hamid, Jacob Jasser, Joachim Lerman, Samod Shetty, Fabio Di Troia

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

2021

Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication.

Elliu Huang, Fabio Di Troia, Mark Stamp

CoRR, 2021

Clickbait Detection in YouTube Videos.

Ruchira Gothankar, Fabio Di Troia, Mark Stamp

CoRR, 2021

Sentiment Analysis for Troll Detection on Weibo.

Zidong Jiang, Fabio Di Troia, Mark Stamp

CoRR, 2021

Fake Malware Generation Using HMM and GAN.

Harshit Trehan, Fabio Di Troia

Proceedings of the Silicon Valley Cybersecurity Conference - Second Conference, 2021

Malware Classification with Word Embedding Features.

Aparna Sunil Kale, Fabio Di Troia, Mark Stamp

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

A New Dataset for Smartphone Gesture-based Authentication.

Elliu Huang, Fabio Di Troia, Mark Stamp, Preethi Sundaravaradhan

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

Malware Classification using Long Short-term Memory Models.

Dennis Dang, Fabio Di Troia, Mark Stamp

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

2020

Machine learning classification for advanced malware detection.

Fabio Di Troia

PhD thesis, 2020

Multifamily malware models.

Samanvitha Basole, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., 2020

Convolutional neural networks for image spam detection.

Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp

Inf. Secur. J. A Glob. Perspect., 2020

Detecting malware evolution using support vector machines.

Mayuri Wadkar, Fabio Di Troia, Mark Stamp

Expert Syst. Appl., 2020

Black box analysis of android malware detectors.

Guruswamy Nellaivadivelu, Fabio Di Troia, Mark Stamp

Array, 2020

2019

An analysis of Android adware.

Supraja Suresh, Fabio Di Troia, Katerina Potika, Mark Stamp

J. Comput. Virol. Hacking Tech., 2019

Hidden Markov models with random restarts versus boosting for malware detection.

Aditya Raghavan, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., 2019

Feature analysis of encrypted malicious traffic.

Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp

Expert Syst. Appl., 2019

A Comparative Analysis of Android Malware.

Neeraj Chavan, Fabio Di Troia, Mark Stamp

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

Transfer Learning for Image-based Malware Classification.

Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp

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

2018

Function Call Graphs Versus Machine Learning for Malware Detection.

Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Masquerade Detection on Mobile Devices.

Swathi Nambiar Kadala Manikoth, Fabio Di Troia, Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models.

Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Vigenère scores for malware detection.

Suchita Deshmukh, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., 2018

Deep Learning versus Gist Descriptors for Image-based Malware Classification.

Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Di Troia, Mark Stamp

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

Autocorrelation Analysis of Financial Botnet Traffic.

Prathiba Nagarajan, Fabio Di Troia, Thomas H. Austin, Mark Stamp

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

Acoustic Gait Analysis using Support Vector Machines.

Jasper Huang, Fabio Di Troia, Mark Stamp

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

Robust Hashing for Image-based Malware Classification.

Wei-Chung Huang, Fabio Di Troia, Mark Stamp

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

Support Vector Machines for Image Spam Analysis.

Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp

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

On the Effectiveness of Generic Malware Models.

Naman Bagga, Fabio Di Troia, Mark Stamp

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

Hidden Markov Models for Vigenère Cryptanalysis.

Mark Stamp, Fabio Di Troia, Miles Stamp, Jasper Huang

Proceedings of the 1st International Conference on Historical Cryptology, 2018

2017

Clustering for malware classification.

Swathi Pai, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2017

A comparison of static, dynamic, and hybrid analysis for malware detection.

Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2017

SocioBot: a Twitter-based botnet.

Ismeet Kaur Makkar, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

Int. J. Secur. Networks, 2017

Classic cryptanalysis using hidden Markov models.

Rohit Vobbilisetty, Fabio Di Troia, Richard M. Low, Corrado Aaron Visaggio, Mark Stamp

Cryptologia, 2017

Static and Dynamic Analysis of Android Malware.

Ankita Kapratwar, Fabio Di Troia, Mark Stamp

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

2016

Support vector machines and malware detection.

Tanuvir Singh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2016

Clustering versus SVM for malware detection.

Usha Narra, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2016

Advanced transcriptase for JavaScript malware.

Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

Proceedings of the 11th International Conference on Malicious and Unwanted Software, 2016

Malware Detection Using Dynamic Birthmarks.

Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

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

Static Analysis of Malicious Java Applets.

Nikitha Ganesh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

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