PE-v-SVR based Architecture to Predict and Prevent Low and Slow-Rate DDoS Attacks using Machine Learning
- Title
- PE-v-SVR based Architecture to Predict and Prevent Low and Slow-Rate DDoS Attacks using Machine Learning
- Description
- Proceedings of the 18th INDIAcom; 2024 11th International Conference on Computing for Sustainable Global Development, INDIACom 2024 pp.1612-1616
- Creator
- Chhettri D.; George F.J.; Nair A.M.; Alapatt B.P.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191695656&doi=10.23919%2fINDIACom61295.2024.10498399&partnerID=40&md5=75aa15129b743699d94569b991947f29" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191695656&doi=10.23919%2fINDIACom61295.2024.10498399&partnerID=40&md5=75aa15129b743699d94569b991947f29</a>
- Date
- 2024-01-01
Collection
Citation
Chhettri D.; George F.J.; Nair A.M.; Alapatt B.P., “PE-v-SVR based Architecture to Predict and Prevent Low and Slow-Rate DDoS Attacks using Machine Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9830.