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Volumn 3930 LNAI, Issue , 2006, Pages 662-671

EFIS: Evolvable-neural-based fuzzy inference system and its application for adaptive network anomaly detection

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; NEURAL NETWORKS; PATTERN RECOGNITION; PROBLEM SOLVING; TELECOMMUNICATION TRAFFIC;

EID: 33745768169     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11739685_69     Document Type: Conference Paper
Times cited : (16)

References (11)
  • 3
    • 33745799564 scopus 로고    scopus 로고
    • Developing online adaptive engine for profiling network traffic using evolving connectionist systems
    • Budiarto, R., Pasha, M.F.: Developing Online Adaptive Engine for Profiling Network Traffic using Evolving Connectionist Systems. Conference on Neuro-Computing and Evolving Intelligence (2004) 69-70
    • (2004) Conference on Neuro-computing and Evolving Intelligence , pp. 69-70
    • Budiarto, R.1    Pasha, M.F.2
  • 6
    • 0024984441 scopus 로고
    • Adaptive real-time anomaly detection using inductively generated sequential patterns
    • Teng, M.S., Chen, K., Lu, S.C.: Adaptive real-time anomaly detection using inductively generated sequential patterns. IEEE Symposium on Security and Privacy (1980) 278-284
    • (1980) IEEE Symposium on Security and Privacy , pp. 278-284
    • Teng, M.S.1    Chen, K.2    Lu, S.C.3
  • 7
    • 24344493316 scopus 로고    scopus 로고
    • Approaches to online learning and conceptual drift for user identification in computer security
    • Purdue University
    • Lane, T., Brodley, C.: Approaches to online learning and conceptual drift for user identification in computer security. ECE and the COAST Laboratory Tech. Rep. (Coast TR 9812), Purdue University (1998)
    • (1998) ECE and the COAST Laboratory Tech. Rep. (Coast TR 9812)
    • Lane, T.1    Brodley, C.2
  • 8
    • 6344255762 scopus 로고    scopus 로고
    • Next generation intrusion detection: Autonomous reinforcement learning of network attacks
    • Cannady, J.: Next generation intrusion detection: Autonomous reinforcement learning of network attacks. 23rd National Information Systems Security Conference (2000) 1-12
    • (2000) 23rd National Information Systems Security Conference , pp. 1-12
    • Cannady, J.1
  • 10
    • 0032845493 scopus 로고    scopus 로고
    • HyFIS: Adaptive neuro-fuzzy system and their applicalion to non-linear dynamical systems
    • Elsevicr
    • Kim, J., Kasabov, N.: HyFIS: Adaptive Neuro-Fuzzy System and Their Applicalion to Non-Linear Dynamical Systems. Neural Network. Elsevicr (1999) 12(9): 1301-1319
    • (1999) Neural Network , vol.12 , Issue.9 , pp. 1301-1319
    • Kim, J.1    Kasabov, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.