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Volumn 3321, Issue , 2004, Pages 468-482

The feature selection and intrusion detection problems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SYSTEM FIREWALLS; COMPUTER VIRUSES; CYBERSECURITY; DENIAL-OF-SERVICE ATTACK; FEATURE EXTRACTION; INTRUSION DETECTION; LOSSES; NATIONAL SECURITY; NETWORK SECURITY; TERRORISM; VIRUSES; COMPUTER CRIME; COMPUTER WORMS; DECISION MAKING; MALWARE; MERCURY (METAL); PROBES;

EID: 33947265693     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30502-6_34     Document Type: Review
Times cited : (47)

References (23)
  • 3
    • 1542492748 scopus 로고    scopus 로고
    • Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques
    • Mukkamala, S., Sung, A.H.: Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques. In International Journal on Digital Evidence, IJDE. Vol.3 (2003)
    • (2003) International Journal on Digital Evidence, IJDE , vol.3
    • Mukkamala, S.1    Sung, A.H.2
  • 6
  • 9
    • 0002432565 scopus 로고
    • Multivariate Adaptive Regression Splines
    • Friedman, J.H.: Multivariate Adaptive Regression Splines. Annals of Statistics; Vol.19. (1991) 1-141
    • (1991) Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.H.1
  • 11
    • 35048890525 scopus 로고    scopus 로고
    • Computer Science Department website. New Mexico Tech, USA
    • Computer Science Department website. New Mexico Tech, USA, http://www.cs.nmt.edu
  • 16
    • 35048865755 scopus 로고    scopus 로고
    • Computationally Intelligent Agents for Distributed Intrusion Detection System and Method of Practicing. United States Patent Application No: 10/413,462 (Pending) (2003)
    • Sung, A.H., Mukkamala, S., Lassez, J-L., and Dawson, T.: Computationally Intelligent Agents for Distributed Intrusion Detection System and Method of Practicing. United States Patent Application No: 10/413,462 (Pending) (2003)
    • Sung, A.H.1    Mukkamala, S.2    Lassez, J.-L.3    Dawson, T.4
  • 21
    • 0035247432 scopus 로고    scopus 로고
    • A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining
    • Brameier, M, Banzhaf, W.: A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining. IEEE Transactions on Evolutionary Computation; Vol. 5(1). (2001) 17-26
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.1 , pp. 17-26
    • Brameier, M.1    Banzhaf, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.