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Volumn , Issue , 2005, Pages 2424-2430

A new approach for early detection of internet worms based on connection degree

Author keywords

Behavior model; Connection degree; CUSUM; Early detection; Worm

Indexed keywords

ERROR DETECTION; INTERNET; MATHEMATICAL MODELS;

EID: 28444447116     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (14)
  • 2
    • 0003964874 scopus 로고
    • Next generation Intrusion Detection Expert System (NIDES): A summary
    • Computer Science Laboratory, SRI International, May
    • D. Anderson, T. Frivold, and A. Valdes, Next generation Intrusion Detection Expert System (NIDES): A summary, Technical Report SRI-CSL-95-07, Computer Science Laboratory, SRI International, May 1995.
    • (1995) Technical Report , vol.SRI-CSL-95-07
    • Anderson, D.1    Frivold, T.2    Valdes, A.3
  • 11
    • 1642434224 scopus 로고    scopus 로고
    • Using sensor networks and data fusion for early detection of active worms
    • V. H. Berk, R.S. Gray, and G. Bakos, Using Sensor Networks and Data Fusion for Early Detection of Active Worms, Proceedings of the SPIE AeroSense, pp. 92-104, 2003.
    • (2003) Proceedings of the SPIE AeroSense , pp. 92-104
    • Berk, V.H.1    Gray, R.S.2    Bakos, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.