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Volumn 4, Issue , 2004, Pages 3273-3278

A framework for countering denial of service attacks

Author keywords

Data reduction; Denial of service attacks; Feature ranking; Information assurance; Intrusion detection; Machine learning

Indexed keywords

DENIAL OF SERVICE ATTACKS; FEATURE RANKING; INFORMATION ASSURANCE; INTRUSION DETECTION;

EID: 15744380176     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1400845     Document Type: Conference Paper
Times cited : (8)

References (18)
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    • T. Draelos, et. Al, "Distributed Denial of Service Characterization," Technical Report, Sandia National Laboratories, 2003.
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    • Draelos, T.1
  • 4
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    • (1991) Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.H.1
  • 6
    • 0141465877 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • University of Dortmund, LS VIII-Report
    • T. Joachims, "Making Large-Scale SVM Learning Practical", LS8-Report, University of Dortmund, LS VIII-Report, 2000.
    • (2000) LS8-Report
    • Joachims, T.1
  • 9
    • 1642283261 scopus 로고    scopus 로고
    • A taxonomy of DDoS attacks and DDoS defense mechanisms
    • Department of Computer Science, UCLA
    • J. Mirkovic, J. Martin, and P. Reiher, "A Taxonomy of DDoS Attacks and DDoS Defense Mechanisms", Technical Report # 020017, Department of Computer Science, UCLA, 2002.
    • (2002) Technical Report # 020017
    • Mirkovic, J.1    Martin, J.2    Reiher, P.3
  • 11
    • 0242489523 scopus 로고    scopus 로고
    • Feature selection for intrusion detection using neural networks and support vector machines
    • Transportation Research Record No 1822
    • S. Mukkamala, and A.H. Sung "Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines", Journal of the Transportation Research Board of the National Academics, Transportation Research Record No 1822, pp. 33-39, 2003.
    • (2003) Journal of the Transportation Research Board of the National Academics , pp. 33-39
    • Mukkamala, S.1    Sung, A.H.2
  • 12
    • 9444267133 scopus 로고    scopus 로고
    • Computational intelligent techniques for detecting denial of service attacks
    • 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), Lecture Notes in Computer Science 3029 Springer, ISBN 3-540-22007-0
    • S. Mukkamala, A. H. Sung, and A. Abraham, "Computational Intelligent Techniques for Detecting Denial of Service Attacks", Proc. of Innovations in Applied Artificial Intelligence, 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), Lecture Notes in Computer Science 3029 Springer, ISBN 3-540-22007-0, pp. 633-642, 2004.
    • (2004) Proc. of Innovations in Applied Artificial Intelligence , pp. 633-642
    • Mukkamala, S.1    Sung, A.H.2    Abraham, A.3
  • 13
    • 0034776786 scopus 로고    scopus 로고
    • On the effectiveness of router-based packet filtering for distributed DoS attack and prevention in power-law internets
    • K. Park, and H. Lee, "On the Effectiveness of Router-Based Packet Filtering for Distributed DoS attack and Prevention in Power-Law Internets", Proc. of the SGICOMM, pp. 15-26, 2001.
    • (2001) Proc. of the SGICOMM , pp. 15-26
    • Park, K.1    Lee, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.