Optimizing Deep Learning Based Intrusion Detection Systems Defense Against White-Box and Backdoor Adversarial Attacks Through a Genetic Algorithm.
Khaled AlrawashdehStephen GoldsmithPublished in: AIPR (2020)
Keyphrases
- deep learning
- intrusion detection system
- intrusion detection
- white box
- network security
- black box
- network intrusion detection systems
- network attacks
- attack detection
- intrusion prevention
- network intrusion
- computer security
- network intrusions
- misuse detection
- denial of service attacks
- normal behavior
- dos attacks
- computer networks
- anomaly detection
- attack scenarios
- unsupervised learning
- cyber attacks
- network intrusion detection
- network traffic
- malicious activities
- source code
- cyber security
- normal traffic
- machine learning
- information security
- countermeasures
- data mining
- alert correlation
- ddos attacks
- weakly supervised
- mental models
- test data
- computer systems
- real world
- test cases
- active learning
- pattern recognition
- high level
- data mining techniques
- open source
- data model