Back to Search
Start Over
Adaptive Anomaly Detection on Network Data Streams
- Source :
- ISI, IEEE Conference on Intelligence and Security Informatics (ISI) 2018
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- As the number of cyber-attacks increases, there has been increasing emphasis on developing complementary methods of detection to the existing signature-based approaches. This work builds upon a previously discovered persistent structure within the Los Alamos National Laboratory network data sources, to develop a regression based streaming anomaly detection mechanism that can adapt to the network behaviour over time. The methodology has also been applied to a new data set of the same network to assess the extent of its pertinence in time.
- Subjects :
- Technology
Authentication events
Computer science
Anomaly detection
02 engineering and technology
computer.software_genre
Data modeling
Engineering
Computer Science, Theory & Methods
Netflow Data
0202 electrical engineering, electronic engineering, information engineering
Structure (mathematical logic)
Authentication
Science & Technology
Emphasis (telecommunications)
Engineering, Electrical & Electronic
020206 networking & telecommunications
Computer Science, Software Engineering
Signature (logic)
Regression
Data set
Forgetting factor
Computer Science
020201 artificial intelligence & image processing
Data mining
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Conference on Intelligence and Security Informatics (ISI)
- Accession number :
- edsair.doi.dedup.....ae595e46e58048c1a68a1cb80db2cb1c