Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks.
Olakunle IbitoyeM. Omair ShafiqAshraf MatrawyPublished in: CoRR (2019)
Keyphrases
- intrusion detection
- deep learning
- network intrusion
- network attacks
- network intrusions
- intrusion detection system
- network intrusion detection systems
- computer security
- intrusion prevention
- network traffic data
- unsupervised learning
- anomaly detection
- network intrusion detection
- computer networks
- network security
- security vulnerabilities
- misuse detection
- network traffic
- cyber security
- information security
- cyber attacks
- normal behavior
- machine learning
- intrusion detection and prevention
- detecting anomalous
- countermeasures
- data mining techniques
- weakly supervised
- worm detection
- data sets
- learning strategies
- data mining
- mental models
- real world
- alert correlation
- pairwise
- reinforcement learning
- power grids
- bayesian networks
- face recognition