메뉴 건너뛰기




Volumn , Issue , 2006, Pages 48-53

A multilayer approach of anomaly detection for email systems

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER CRIME; DATA COMMUNICATION SYSTEMS; ELECTRONIC MAIL; NEURAL NETWORKS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 34547282683     PISSN: 15301346     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCC.2006.10     Document Type: Conference Paper
Times cited : (3)

References (19)
  • 1
    • 0004118981 scopus 로고
    • The NIDES statistical component: Description and justification
    • SRI International, Computer Science Laboratory
    • Javits, H. S. and Valdes, A. "The NIDES statistical component: Description and justification". Technical Rep. SRI International, Computer Science Laboratory. 1993
    • (1993) Technical Rep
    • Javits, H.S.1    Valdes, A.2
  • 2
    • 0038324607 scopus 로고    scopus 로고
    • SPADE
    • SPADE, Silicon Defense, http://www.silicondefense.com/sonware/spice
    • Silicon Defense
  • 3
    • 85084160308 scopus 로고    scopus 로고
    • A study in using neural networks for anomaly and misuse detection
    • A. Ghosh and A. Schwartzbard, "A study in using neural networks for anomaly and misuse detection", USENIX Security Symposium, 1999
    • (1999) USENIX Security Symposium
    • Ghosh, A.1    Schwartzbard, A.2
  • 8
    • 0009304541 scopus 로고    scopus 로고
    • A Bayesian approach to filtering junk e-mail. In: Learning for Text Categorization: Papers from the AAAI Workshop, Madison Wisconsin
    • WS-98-05
    • Sahami, M., Dumais, S., Heckerman, D., Horvitz, E.: A Bayesian approach to filtering junk e-mail. In: Learning for Text Categorization: Papers from the AAAI Workshop, Madison Wisconsin, AAAI Press (1998) 55-62 Technical Report WS-98-05.
    • AAAI Press (1998) 55-62 Technical Report
    • Sahami, M.1    Dumais, S.2    Heckerman, D.3    Horvitz, E.4
  • 10
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one-loss
    • Domingos, P., Pazzani, M.: On the optimality of the simple Bayesian classifier under zero-one-loss. Machine Learning, vol. 29, pp.103-130, 1997.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 12
    • 0009552269 scopus 로고    scopus 로고
    • Adaptive, Model-based Monitoring for Cyber Attack Detection
    • Tolouse, France, October
    • A. Valdes and K. Skinner. Adaptive, Model-based Monitoring for Cyber Attack Detection. In Proceedings of RAID 2000, Tolouse, France, October 2000.
    • (2000) Proceedings of RAID
    • Valdes, A.1    Skinner, K.2
  • 13
    • 34547256105 scopus 로고    scopus 로고
    • MySQL
    • MySQL: http://www.mysql.com/
  • 15
    • 34547246205 scopus 로고    scopus 로고
    • N.S. Abouzakhar and A. Gani et.al., Bayesian leaning networks approach to cybercrime detection, PGNet 2003, June 16-17, 2003, Liverpool, UK.
    • N.S. Abouzakhar and A. Gani et.al., "Bayesian leaning networks approach to cybercrime detection", PGNet 2003, June 16-17, 2003, Liverpool, UK.
  • 17
    • 34547274089 scopus 로고    scopus 로고
    • Detecting viral propagations using email behavior profiles
    • Stolfo, S. et al. Detecting viral propagations using email behavior profiles. In ACM TOIT. 2004.
    • (2004) ACM TOIT
    • Stolfo, S.1
  • 18
    • 34547254553 scopus 로고    scopus 로고
    • Meyer, T. A., and Whateley, B. SpamBayes: Effective open-source, Bayesian based, email classification system. In CEAS, 2004.
    • Meyer, T. A., and Whateley, B. SpamBayes: Effective open-source, Bayesian based, email classification system. In CEAS, 2004.
  • 19
    • 34547298734 scopus 로고    scopus 로고
    • Sendmail Consortium
    • Sendmail Consortium, http://www.sendmail.org


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.