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: CoRR (2021)
Keyphrases
- machine learning
- countermeasures
- control system
- malicious users
- cyber attacks
- malicious attacks
- critical infrastructure
- denial of service attacks
- network anomaly detection
- attack detection
- ddos attacks
- differential power analysis
- security risks
- fault injection
- industrial automation
- power analysis
- data corruption
- association rules
- machine learning algorithms
- learning classifier systems
- decision trees
- block cipher
- machine learning methods
- information extraction
- multi agent
- network attacks
- dos attacks
- injection attacks
- phishing attacks
- detecting malicious
- attack scenarios
- learning algorithm
- digital watermark
- computer security
- explanation based learning
- network intrusion detection
- malicious activities
- security measures
- information security
- data mining
- smart card