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Volumn 47, Issue 3, 2010, Pages 334-346

Detection and classification of DDOS attacks using machine learning algorithms

Author keywords

Alert classification; Artificial Neural Networks; Distributed Denial of Service; Intrusion detection system; Support Vector Machines

Indexed keywords


EID: 79960090011     PISSN: 1450216X     EISSN: 1450202X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (15)
  • 1
    • 24944586818 scopus 로고    scopus 로고
    • Network based intrusion detection with support vector machines
    • LNCS 2662
    • Dong Seong Kim and Jong Son Park, "Network Based Intrusion Detection with Support Vector Machines", ICOIN 2003, LNCS 2662, pp 747-756.
    • ICOIN 2003 , pp. 747-756
    • Kim, D.S.1    Park, J.S.2
  • 4
    • 10844230994 scopus 로고    scopus 로고
    • Intrusion detection using an ensemble of intelligent paradigms
    • DOI 10.1016/j.jnca.2004.01.003, PII S1084804504000049, Computational Intelligence on the Internet
    • Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, 'Intrusion Detection using an ensemble of Intelligent Paradigms', Journal of Network and Computer Applications, Volume 28, Issue 2 (April 2005) pp-167-182. (Pubitemid 40003209)
    • (2005) Journal of Network and Computer Applications , vol.28 , Issue.2 , pp. 167-182
    • Mukkamala, S.1    Sung, A.H.2    Abraham, A.3
  • 5
    • 38549145516 scopus 로고    scopus 로고
    • Machine learning for automatic defence against distributed denial of service attacks
    • Stefan Seufert and Darragh O'Brien "Machine Learning for Automatic Defence against Distributed Denial of Service Attacks" ICC 2007
    • ICC 2007
    • Seufert, S.1    O'Brien, D.2
  • 6
    • 38549145516 scopus 로고    scopus 로고
    • Machine learning for automatic defence against distributed denial of service attacks
    • School of Computing, Dublin City University, Ireland
    • Stefan Seufert and Darragh O'Brien School of Computing, Dublin City University, Ireland "Machine Learning for Automatic Defence against Distributed Denial of Service Attacks", ICC 2007 proceedings.
    • ICC 2007 Proceedings
    • Seufert, S.1    O'Brien, D.2
  • 7
    • 27644590551 scopus 로고    scopus 로고
    • Data mining and machine learning - Towards reducing false positives in intrusion detection
    • DOI 10.1016/j.istr.2005.07.001, PII S1363412705000361
    • Tadeusz Pietraszek and Axel Tanner. "Data mining and machine learning-Towards reducing false positives in intrusion detection.", Information Security Technical Report, 10:, 2005, pp-169-183. (Pubitemid 41550376)
    • (2005) Information Security Technical Report , vol.10 , Issue.3 , pp. 169-183
    • Pietraszek, T.1    Tanner, A.2
  • 9
    • 30344436961 scopus 로고    scopus 로고
    • Monitoring the macroscopic effect of DDoS flooding attacks
    • DOI 10.1109/TDSC.2005.50
    • Yuan. J and Mills. K, "Monitoring the macroscopic effect of DDos flooding attacks," IEEE Trans. Dependable and Secure Computing, vol.2, no. 4, Oct.-Dec. 2005, pp. 324-335. (Pubitemid 43060381)
    • (2005) IEEE Transactions on Dependable and Secure Computing , vol.2 , Issue.4 , pp. 324-335
    • Yuan, J.1    Mills, K.2
  • 10
    • 33646900187 scopus 로고    scopus 로고
    • Change trend of averaged Hurst parameter of traffic under DDOS flood attacks
    • DOI 10.1016/j.cose.2005.11.007, PII S0167404805001963
    • M. Li, "change trend of averaged Hurst parameter of traffic under DDOS flood attacks", Computers & Security, vol:25, no:3 May 2006, pp-213-220. (Pubitemid 43796072)
    • (2006) Computers and Security , vol.25 , Issue.3 , pp. 213-220
    • Li, M.1
  • 11
    • 8344244591 scopus 로고    scopus 로고
    • An approach to reliably identifying signs of DDOS flood attacks based on LRD traffic pattern recognition
    • Oct.
    • M. Li, "An approach to reliably identifying signs of DDOS flood attacks based on LRD traffic pattern recognition", Computers & Security, vol:23, no:7, Oct. 2004, pp-549-558.
    • (2004) Computers & Security , vol.23 , Issue.7 , pp. 549-558
    • Li, M.1
  • 13
    • 85069254734 scopus 로고    scopus 로고
    • http://en.wikipedia.org/wiki/Ddos#Distributedattack
  • 14
    • 85069243371 scopus 로고    scopus 로고
    • www.secure64.com
  • 15
    • 85069257341 scopus 로고    scopus 로고
    • http://themetricsystem.rjmetrics.com/2009/06/22/dos-attacks-trendtoward- politics/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.