Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning.
Muhammad Azmi UmerChuadhry Mujeeb AhmedMuhammad Taha JilaniAditya P. MathurPublished in: CPSIOTSEC@CCS (2021)
Keyphrases
- machine learning
- countermeasures
- control system
- malicious users
- attack detection
- malicious attacks
- network anomaly detection
- denial of service attacks
- cyber attacks
- differential power analysis
- industrial automation
- machine learning methods
- power analysis
- block cipher
- data corruption
- attack scenarios
- critical infrastructure
- ddos attacks
- dos attacks
- learning classifier systems
- fault injection
- association rules
- security risks
- denial of service
- decision trees
- digital watermark
- injection attacks
- network intrusions
- network attacks
- learning algorithm
- security vulnerabilities
- malicious nodes
- data mining
- information extraction
- normal traffic
- inductive logic programming
- network intrusion
- information leakage
- knowledge representation
- security measures
- industrial processes
- explanation based learning
- detecting malicious
- knowledge acquisition
- intrusion detection system