Adnan Anwar

Orcid: 0000-0003-3916-1381

According to our database1, Adnan Anwar authored at least 86 papers between 2014 and 2024.

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Bibliography

2024
Digital Emotion Regulation on Social Media.
Computer, June, 2024

AI-Driven EEC for Healthcare IoT: Security Challenges and Future Research Directions.
IEEE Consumer Electron. Mag., January, 2024

State-of-the-art authentication and verification schemes in VANETs: A survey.
Veh. Commun., 2024

A Secure Federated Learning Framework for Residential Short-Term Load Forecasting.
IEEE Trans. Smart Grid, 2024

Empathic Responding for Digital Interpersonal Emotion Regulation via Content Recommendation.
CoRR, 2024

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis.
CoRR, 2024

Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach.
CoRR, 2024

Anomaly detection for space information networks: A survey of challenges, techniques, and future directions.
Comput. Secur., 2024

Reverse Engineering-Guided Fuzzing for CAN Bus Vulnerability Detection.
Proceedings of the Information Security Applications - 25th International Conference, 2024

DEMO: Adaptive Fuzz Testing for Automotive ECUs: A Modular Testbed Approach for Enhanced Vulnerability Detection.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

Evaluation and Analysis of a Digital Forensic Readiness Framework for the IIoT.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

Novel CAN Bus Fuzzing Framework for Finding Vulnerabilities in Automotive Systems.
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Vulnerability Assessment and Risk Modeling of IoT Smart Home Devices.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
HiCoOB: Hierarchical Concurrent Optimistic Blockchain Consensus Protocol for Peer-to-Peer Energy Trading Systems.
IEEE Trans. Smart Grid, September, 2023

Dependable Intrusion Detection System for IoT: A Deep Transfer Learning Based Approach.
IEEE Trans. Ind. Informatics, 2023

USMD: UnSupervised Misbehaviour Detection for Multi-Sensor Data.
IEEE Trans. Dependable Secur. Comput., 2023

False data injection threats in active distribution systems: A comprehensive survey.
Future Gener. Comput. Syst., 2023

A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grids.
ACM Comput. Surv., 2023

FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination.
CoRR, 2023

Encouraging Emotion Regulation in Social Media Conversations through Self-Reflection.
CoRR, 2023

Cybersecurity for Industrial IoT (IIoT): Threats, countermeasures, challenges and future directions.
Comput. Commun., 2023

A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems.
IEEE Access, 2023

DoS Attacks, Human Factors, and Evidence Extraction for the Industrial Internet of Things (IIoT) Paradigm.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, 2023

FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination.
Proceedings of the IEEE INFOCOM 2023, 2023

Misbehaviour Detection for Smart Grids using a Privacy-centric and Computationally Efficient Federated Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2023

Blockchain-Based and Fuzzy Logic-Enabled False Data Discovery for the Intelligent Autonomous Vehicular System.
Proceedings of the Third International Symposium on Advanced Security on Software and Systems, 2023

POSTER: A Semi-asynchronous Federated Intrusion Detection Framework for Power Systems.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

Towards Robust Misbehavior Detection in Power Control Systems: A Gradient Quantization Approach.
Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023

2022
A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET.
IEEE Trans. Intell. Transp. Syst., 2022

Optimum Energy Management for Air Conditioners in IoT-Enabled Smart Home.
Sensors, 2022

GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids.
Sensors, 2022

Blockchain in vehicular ad hoc networks: applications, challenges and solutions.
Int. J. Sens. Networks, 2022

Owner Identity Verification in the Internet of Connected Vehicles: Zero Trust Based Solution.
IACR Cryptol. ePrint Arch., 2022

Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home.
IACR Cryptol. ePrint Arch., 2022

A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles.
IACR Cryptol. ePrint Arch., 2022

Adversarial Models Towards Data Availability and Integrity of Distributed State Estimation for Industrial IoT-Based Smart Grid.
CoRR, 2022

FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers.
CoRR, 2022

SDN-IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic.
Clust. Comput., 2022

An Improved SLIC Algorithm for Segmentation of Microscopic Cell Images.
Biomed. Signal Process. Control., 2022

Zero Trust Architecture (ZTA): A Comprehensive Survey.
IEEE Access, 2022

Blockchain Meets Secured Microservice Architecture: A Trustworthy Consensus Algorithm.
Proceedings of the 19th International Conference on Wireless Networks and Mobile Systems, 2022

IoT-based Analysis for Smart Energy Management.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Smart Home/Office Energy Management based on Individual Data Analysis through IoT Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading.
IEEE Trans. Smart Grid, 2021

Vulnerability and Impact Analysis of the IEC 61850 GOOSE Protocol in the Smart Grid.
Sensors, 2021

Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks.
Sensors, 2021

A Blockchain-Based Authentication Protocol for Cooperative Vehicular Ad Hoc Network.
Sensors, 2021

A novel multi-stage distributed authentication scheme for smart meter communication.
PeerJ Comput. Sci., 2021

Detecting autism spectrum disorder using machine learning techniques.
Health Inf. Sci. Syst., 2021

Improving malicious PDF classifier with feature engineering: A data-driven approach.
Future Gener. Comput. Syst., 2021

Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch.
CoRR, 2021

Emerging Trends of Recently Published Datasets for Intrusion Detection Systems (IDS): A Survey.
CoRR, 2021

Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes.
CoRR, 2021

A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grid.
CoRR, 2021

Comprehensive Survey and Taxonomies of False Injection Attacks in Smart Grid: Attack Models, Targets, and Impacts.
CoRR, 2021

A Comprehensive Review on the NILM Algorithms for Energy Disaggregation.
CoRR, 2021

LCDA: Lightweight Continuous Device-to-Device Authentication for a Zero Trust Architecture (ZTA).
Comput. Secur., 2021

Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems.
Ad Hoc Networks, 2021

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey.
IEEE Access, 2021

Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN.
IEEE Access, 2021

IoT-Enabled Smart Energy Grid: Applications and Challenges.
IEEE Access, 2021

A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2021

DAAB: Deep Authorship Attribution in Bengali.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid.
IEEE Trans. Big Data, 2020

Machine learning and data analytics for the IoT.
Neural Comput. Appl., 2020

Detecting Autism Spectrum Disorder using Machine Learning.
CoRR, 2020

Echo-ID: Smart User Identification Leveraging Inaudible Sound Signals.
IEEE Access, 2020

DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium.
IEEE Access, 2020

TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems.
IEEE Access, 2020

Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Measurement Unit Placement Against Injection Attacks for the Secured Operation of an IIoT-based Smart Grid.
Proceedings of the 19th IEEE International Conference on Trust, 2020

CVSS Based Attack Analysis Using a Graphical Security Model: Review and Smart Grid Case Study.
Proceedings of the Smart Grid and Internet of Things - 4th EAI International Conference, 2020

2017
Data-Driven Stealthy Injection Attacks on Smart Grid.
PhD thesis, 2017

HPC-Based Intelligent Volt/VAr Control of Unbalanced Distribution Smart Grid in the Presence of Noise.
IEEE Trans. Smart Grid, 2017

Ensuring Data Integrity of OPF Module and Energy Database by Detecting Changes in Power Flow Patterns in Smart Grids.
IEEE Trans. Ind. Informatics, 2017

Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements.
J. Comput. Syst. Sci., 2017

2016
Estimation of smart grid topology using SCADA measurements.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

Data-Driven Stealthy Injection Attacks on Smart Grid with Incomplete Measurements.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

2015
Identification of vulnerable node clusters against false data injection attack in an AMI based Smart Grid.
Inf. Syst., 2015

An Investigation of Performance Analysis of Anomaly Detection Techniques for Big Data in SCADA Systems.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2015

A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Vulnerabilities of Smart Grid State Estimation against False Data Injection Attack.
CoRR, 2014

Swarm Intelligence Based Multi-phase OPF For Peak Power Loss Reduction In A Smart Grid.
CoRR, 2014

Enhanced Estimation of Autoregressive Wind Power Prediction Model Using Constriction Factor Particle Swarm Optimization.
CoRR, 2014

Cyber Security of Smart Grid Infrastructure.
CoRR, 2014

False Data Injection Attack Targeting the LTC Transformers to Disrupt Smart Grid Operation.
Proceedings of the International Conference on Security and Privacy in Communication Networks, 2014


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