DEMISe: Interpretable Deep Extraction and Mutual Information Selection Techniques for IoT Intrusion Detection.
Luke R. ParkerPaul D. YooA. Taufiq AsyhariLounis ChermakYoonchan JhiKamal TahaPublished in: ARES (2019)
Keyphrases
- intrusion detection
- mutual information
- intrusion detection system
- anomaly detection
- network security
- network intrusion detection
- high detection rate
- network traffic
- detecting anomalous
- artificial immune
- network intrusion
- feature selection
- false positives and false negatives
- similarity measure
- data mining techniques
- alert correlation
- data sets
- data mining
- network attacks
- distributed intrusion detection
- cyber security
- computer security
- information security
- cloud computing
- image segmentation
- computer vision
- network intrusions
- learning algorithm