Projects
- Projects
- IEEE Cyber Security Domain Projects
IEEE CYBER SECURITY DOMAIN PROJECTS
- Empirical Studies of TESLA Protocol Properties Implementations and Replacement of Public Cryptography Using Biometric Authentication
- CyberPhysical Attack Conduction and Detection in Decentralized Power Systems
- DivergenceBased Transferability Analysis for SelfAdaptive Smart Grid Intrusion Detection With Transfer Learning
- False Data Detection in a Clustered Smart Grid Using Unscented Kalman Filter
- Parkinsons Disease Management via Wearable Sensors A Systematic Review
- Sentiment Analysis of Weibo Comments Based on Graph Neural Network
- Robust Network Intrusion Detection Through Explainable Artificial Intelligence XAI
- Adversarial Machine Learning in Text Processing A Literature Survey
- Combining LongTerm Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML
- RTIDS A Robust TransformerBased Approach for Intrusion Detection System
- SimCSE for Encrypted Traffic Detection and ZeroDay Attack Detection
- A Generalized Hold Based Countermeasure Against ZeroDynamics Attack With Application to DCDC Converter
- TTIDS TransmissionResuming TimeBased Intrusion Detection System for Controller Area Network CAN
- A Comprehensive Analysis of Todays Malware and Its Distribution Network Common Adversary Strategies and Implications
- A Novel Multipurpose Watermarking Scheme Capable of Protecting and Authenticating Images With Tamper Detection and Localisation Abilities
- Machine Learning and Deep Learning Approaches for CyberSecurity A Review
- Robust Natural Language Processing Recent Advances Challenges and Future Directions
- Containment Control of Multiagent Systems Subject to Denial of Service Attacks
- Anomaly Detection for Insider Attacks From Untrusted Intelligent Electronic Devices in Substation Automation Systems
- A New Injection Threat on S71500 PLCs Disrupting the Physical Process Offline
- DVAEGMM Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks
- A Hybrid Approach Toward Efficient and Accurate Intrusion Detection for InVehicle Networks
- A Cognitive Deception Model for Generating Fake Documents to Curb Data Exfiltration in Networks During CyberAttacks
