Low rate DDoS mitigation using real-time multi threshold traffic monitoring system-Reference-Cited by-同舟云学术

Low rate DDoS mitigation using real-time multi threshold traffic monitoring system

Published:2021-01-02 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Baskar M.,Ramkumar J.,Karthikeyan C.,Anbarasu V.,Balaji A.,Arulananth T. S.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-02744-y.pdf

Reference18 articles.

1. Ain A, Bhuyan MH (2016) Rank correlation for low-rate DDoS attack detection: an empirical evaluation. Int J Netw Secur 18(3):474–480

2. Baskar M, Gnansekaran T (2017a) Developing efficient intrusion tracking system using region based traffic impact measure towards the denial of service attack mitigation. J Comput Theor Nanosci 14(7):3576–3582

3. Baskar M, Gnansekaran T (2017b) Multi model network analysis for improved intrusion tracing towards mitigating DDoS attack. Asian J Res Soc Humanit 7(3):1343–1353

4. Baskar M, Gnansekaran T, Frank-Vijay J (2018) Time variant predicate based traffic approximation algorithm for efficient low rate DDoS attack detection. Taga J Graph Technol 14(208):352–368

5. Bhuyan MH, Kashyap HJ, Bhattacharyya DK, Kalita JK (2013) Detecting distributed denial of service attacks: methods, tools and future directions. Comput J 57(4):537–556

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