A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network.
Sella Veluswami Jansi RaniIacovos IoannouPrabagarane NagaradjaneChristophoros ChristophorouVasos VassiliouHarshitaa YarramsettiSai ShridharL. Mukund BalajiAndreas PitsillidesPublished in: IEEE Access (2023)
Keyphrases
- security threats
- machine learning
- network management
- security measures
- denial of service attacks
- cyber attacks
- intrusion prevention
- communication networks
- security issues
- intrusion detection and prevention
- buffer overflow
- network anomaly detection
- fault injection
- security risks
- security mechanisms
- network administrators
- security problems
- traffic analysis
- intrusion detection
- countermeasures
- security protocols
- network security
- security vulnerabilities
- multiple layers
- computer security
- java card
- network configuration
- network traffic
- security breaches
- security requirements
- cryptographic protocols
- data mining
- key management
- deep learning
- ddos attacks
- malicious traffic
- computer networks
- dos attacks
- network attacks
- peer to peer
- security management
- malicious users
- information leakage
- security policies
- intrusion detection system
- forensic analysis
- access control
- privacy preserving
- information security