On the feasibility of an embedded machine learning processor for intrusion detection.
Rajesh SankaranRicardo A. CalixPublished in: IEEE BigData (2016)
Keyphrases
- computer vision
- intrusion detection
- machine learning
- intrusion detection system
- anomaly detection
- data mining
- network security
- pattern recognition
- network intrusion
- high detection rate
- network intrusion detection
- embedded systems
- network traffic
- learning algorithm
- cyber security
- computer security
- data mining techniques
- false positives and false negatives
- artificial immune
- intrusion prevention
- information security
- alert correlation
- network attacks
- operating system
- decision trees
- computer networks
- maximum likelihood
- text classification
- semi supervised
- outlier mining
- active learning
- network intrusions
- intrusion detection and prevention