A Self-trained Support Vector Machine Approach for Intrusion Detection-Reference-Cited by-同舟云学术

A Self-trained Support Vector Machine Approach for Intrusion Detection

Published:2020-06-12 Issue: Volume: Page:391-402
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Sahu Santosh Kumar,Mohapatra Durga Prasad,Panda Sanjaya Kumar^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-4218-3_38

Reference22 articles.

1. Allen J, Christie A, Fithen W, McHugh J, Pickel J (2000) State of the practice of intrusion detection technologies. Technical report, Carnegie-Mellon Software Engineering Institute, Pittsburgh, PA

2. Sahoo KS, Panda SK, Sahoo S, Sahoo B, Dash R (2019) Toward secure software-defined networks against distributed denial of service attack. J Supercomput 75(8):4829–4874

3. Rout JK, Bhoi SK, Panda SK (2014) Sftp: a secure and fault-tolerant paradigm against blackhole attack in manet. arXiv preprint arXiv:1403.0338

4. Saha M, Panda SK, Panigrahi S (2019) Distributed computing security: issues and challenges. In: Cyber security in parallel and distributed computing: concepts, techniques, applications and case studies, pp 129–138

5. 1852 cyber attacks hit India each minute last year; Mumbai, Delhi most affected. https://www.securitytoday.in/indian-news/1852-cyber-attacks-hit-india-each-minute-last-year-mumbai-delhi-most-affected/ . Accessed 30 Nov 2019

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