Project Reports
- DEEP-LEARNING DRIVEN INTRUSION DETECTION SYSTEM FOR SECURING IoMT NETWORKS
- TOWARDS PRIVACY PRESRVATION AND EFFECINCY IN FOG SELECTION FOR FEDERATED LEARNING
- INTERNET-OF-EVIDENCE: A HOLISTIC DIGITAL FORENSICS MODEL FOR PRIVACY PRESEVATION IN THE CLOUD
- DEEP LEARNING-BASED RISK-AWARE MODEL FOR DETECTING MALICIOUS DNS OVER HTTPS TRAFFIC IN DOMAIN NAME SYSTEMS
- BLOCKCHAIN-ENABLED ANTI-COUNTERFEITING VERIFICATION SYSTEM FOR IOT DOMAIN
- COMPACT HASH FUNCTION IMPLEMENTATION FOR UNILATERAL LIGHT-WEIGHT AUTHENTICATION PROTOCOL IN RFID SYSTEMS
- AUTHENTICATION PROTOCOL BASED ON AES ALGORITHM FOR RFID SYSTEMS
