Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis
- Title
- Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis
- Description
- Lecture Notes in Networks and Systems Vol.1207 LNNS pp.74-84
- Creator
- Govorova S.; Govorov E.; Lapin V.; Mary Anita E.A.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210153176&doi=10.1007%2f978-3-031-77229-0_8&partnerID=40&md5=d675477b99abea878a57dc670e7d1fa0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210153176&doi=10.1007%2f978-3-031-77229-0_8&partnerID=40&md5=d675477b99abea878a57dc670e7d1fa0</a>
- Date
- 2024-01-01
Collection
Citation
Govorova S.; Govorov E.; Lapin V.; Mary Anita E.A., “Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9438.