SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications.
Yuhang LinOlufogorehan Tunde-OnadeleXiaohui GuJingzhu HeHugo LatapiePublished in: ACSOS (2022)
Keyphrases
- hybrid learning
- attack detection
- cyber attacks
- attack scenarios
- multistage
- neuro fuzzy
- cyber security
- intrusion detection system
- intrusion detection
- security policies
- online learning
- higher education
- physical education
- information security
- access control
- network security
- countermeasures
- blended learning
- computer systems
- security issues
- security requirements
- dos attacks
- face to face instruction
- smart grid
- privacy issues
- product recommendation
- network management
- communication networks
- computational intelligence
- case study