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Volumn 10, Issue 4, 2011, Pages 136-141

Design and implementation of a data mining-based network Intrusion Detection Scheme

Author keywords

Anomaly detection; Data mining; Detection system; Intrusion Detection System; Misuse detection; Network intrusion; Sudan

Indexed keywords


EID: 79960728974     PISSN: 16823915     EISSN: 19935994     Source Type: Journal    
DOI: 10.3923/ajit.2011.136.141     Document Type: Article
Times cited : (6)

References (17)
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    • Data mining for network intrusion detection system in real time
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    • Peng, T.1    Zuo, W.2
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    • A Multiagent-Based Intrusion Detection System with the Support of Multi-Class Supervised Classification
    • Cao, L. (Ed.). Springer-Verlag, USA., Australia
    • Shyu, M.L. and V. Sainam, 2009. A Multiagent-Based Intrusion Detection System with the Support of Multi-Class Supervised Classification. In: Data Mining and Multi-Agent Integration, Cao, L. (Ed.). Springer-Verlag, USA., Australia, pp: 127-142.
    • (2009) Data Mining and Multi-Agent Integration , pp. 127-142
    • Shyu, M.L.1    Sainam, V.2
  • 17
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    • Data mining for network intrusion detection: A comparison of alternative methods
    • Zhu, D., G. Premkumar, X. Zhang and C.H. Chu, 2001. Data mining for network intrusion detection: A comparison of alternative methods. Decision Sci., 32: 635-660.
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    • Zhu, D.1    Premkumar, G.2    Zhang, X.3    Chu, C.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.