Area of research
Computer Networks and Communications · Information Systems
Research interest
Research interests include Computer science, Computer security, Cloud computing, Ransomware, Artificial intelligence, and Intrusion detection system.
An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning
Investigating Security Vulnerabilities in 5G Control and User Planes: Attack Patterns and Protection Strategies
A Blockchain-Augmented CPS Framework to Mitigate FDI Attacks and Improve Resiliency
Experimental Evaluation of MQTT Authentication Mechanisms: Reliability, Enforcement Accuracy, and Security Implications
Methodology and Architecture for Benchmarking End-to-End PQC Protocol Resilience in an IoT Context
Performance Trade-Offs in Multi-Tenant IoT–Cloud Security: A Systematic Review of Emerging Technologies
Physics-Constrained Optimization Framework for Detecting Stealthy Drift Perturbations
Experimental Quantification of Authentication Enforcement Correctness and ACL Misconfiguration Impact in Standards-Compliant MQTT Deployments
IoT–Cloud Integration Security: A Survey of Challenges, Solutions, and Directions
Resilience of Post-Quantum Cryptography in Lightweight IoT Protocols: A Systematic Review
A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware
A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks
Taxonomy of Existing Sustainable Smart City IoT Projects
Personalized Course Recommendations Leveraging Machine and Transfer Learning Toward Improved Student Outcomes
Cloud Security Assessment: A Taxonomy-Based and Stakeholder-Driven Approach
Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks
Novel Ransomware Detection Exploiting Uncertainty and Calibration Quality Measures Using Deep Learning
An Incremental Mutual Information-Selection Technique for Early Ransomware Detection
eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance
Cloud Security Using Fine-Grained Efficient Information Flow Tracking
Trustworthy High-Performance Multiplayer Games with Trust-but-Verify Protocol Sensor Validation
Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation
Opportunities for Early Detection and Prediction of Ransomware Attacks against Industrial Control Systems
Systematic Review of Recommendation Systems for Course Selection
An Enhanced Minimax Loss Function Technique in Generative Adversarial Network for Ransomware Behavior Prediction
Temporal Data Correlation Providing Enhanced Dynamic Crypto-Ransomware Pre-Encryption Boundary Delineation
Replication Data for: IoT Platforms for Smart City Implementation in Rural and Urban Communities: A Comparative Review
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook
Novel Security Models for IoT–Fog–Cloud Architectures in a Real-World Environment