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Volumn , Issue , 2009, Pages

A survey of anomaly detection methods in networks

Author keywords

Anomaly detection; Intrusion detection; Machine learning; Network security

Indexed keywords

ANOMALY DETECTION; ANOMALY DETECTION METHODS; FINITE STATE MACHINES; IN-NETWORK; MACHINE-LEARNING; STATISTICAL ANOMALY DETECTION;

EID: 77949457636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNMT.2009.5374676     Document Type: Conference Paper
Times cited : (55)

References (16)
  • 5
    • 71549167720 scopus 로고    scopus 로고
    • H.H. Hosmer, Security is fuzzy!: applying the fuzzy logic paradigm to the multipolicy paradigm, in: Proceedings of the 1992-1993 Workshop on New Security Paradigms Little Compton, RI, United States, 1993.
    • H.H. Hosmer, Security is fuzzy!: applying the fuzzy logic paradigm to the multipolicy paradigm, in: Proceedings of the 1992-1993 Workshop on New Security Paradigms Little Compton, RI, United States, 1993.
  • 8
    • 0003846041 scopus 로고
    • A Tutorial on Learning With Bayesian Networks, Microsoft Research
    • Technical Report MSRTR-95-06, March
    • D. Heckerman, A Tutorial on Learning With Bayesian Networks, Microsoft Research, Technical Report MSRTR-95-06, March 1995.
    • (1995)
    • Heckerman, D.1
  • 9
    • 84944220475 scopus 로고    scopus 로고
    • Adaptive model-based monitoring for cyber attack detection
    • Toulouse, France
    • A. Valdes, K. Skinner, Adaptive model-based monitoring for cyber attack detection, in: Recent Advances in Intrusion Detection Toulouse, France, 2000, pp. 80-92.
    • (2000) Recent Advances in Intrusion Detection , pp. 80-92
    • Valdes, A.1    Skinner, K.2
  • 12
    • 77949451018 scopus 로고    scopus 로고
    • M.V. Mahoney, P.K. Chan, PHAD: Packet Header Anomaly Detection for Identifying Hostile Network Traffic Department of Computer Sciences, Florida Institute of Technology, Melbourne, FL, USA, Technical Report CS-2001-4, April 2001.
    • M.V. Mahoney, P.K. Chan, PHAD: Packet Header Anomaly Detection for Identifying Hostile Network Traffic Department of Computer Sciences, Florida Institute of Technology, Melbourne, FL, USA, Technical Report CS-2001-4, April 2001.
  • 13
    • 77949446111 scopus 로고    scopus 로고
    • Learning Models of Network Traffic for Detecting Novel Attacks Computer Science Department, Florida Institute of Technology CS-2002-8, August
    • M.V. Mahoney, P.K. Chan, Learning Models of Network Traffic for Detecting Novel Attacks Computer Science Department, Florida Institute of Technology CS-2002-8, August 2002.
    • (2002)
    • Mahoney, M.V.1    Chan, P.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.