Application and improvement of sequence alignment algorithms for intrusion detection in the Internet of Things.
Haejin ChoSangwon LimViacheslav BelenkoMaxim O. KalininDmitry P. ZegzhdaEllada NuralievaPublished in: ICPS (2020)
Keyphrases
- intrusion detection
- anomaly detection
- intrusion detection system
- network security
- sequence alignment
- data mining techniques
- computer security
- network traffic
- network intrusion detection
- high detection rate
- multiple alignment
- credit card fraud detection
- learning algorithm
- machine learning
- data mining
- artificial immune
- databases
- outlier mining
- protein sequences
- computer networks
- information security
- semi supervised