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Volumn 8, Issue 6, 2012, Pages 983-986

Application of adaptive neuro-fuzzy inference system for information secuirty

Author keywords

Adaptive Neuro Fuzzy Inference System (ANFIS); Fuzzy logic; Malware detection

Indexed keywords


EID: 84862556960     PISSN: 15493636     EISSN: None     Source Type: Journal    
DOI: 10.3844/jcssp.2012.983.986     Document Type: Article
Times cited : (12)

References (7)
  • 1
    • 81755176870 scopus 로고    scopus 로고
    • Computer virus detection using features ranking and machine learning
    • Altaher, A., S. Ramadass and A Ali, 2011. Computer virus detection using features ranking and machine learning. Australian J. Basic Applied Sci., 5: 1482-1486.
    • (2011) Australian J. Basic Applied Sci. , vol.5 , pp. 1482-1486
    • Altaher, A.1    Ramadass, S.2    Ali, A.3
  • 2
    • 84862510240 scopus 로고    scopus 로고
    • Feasibility of intrusion detection system with high performance computing: A survey
    • Beg, S., U. Naru, M. Ashraf and S. Moshin, 2010. Feasibility of intrusion detection system with high performance computing: A survey. Int. J. Adv. Comput. SCI., 1: 26-35.
    • (2010) Int. J. Adv. Comput. SCI. , vol.1 , pp. 26-35
    • Beg, S.1    Naru, U.2    Ashraf, M.3    Moshin, S.4
  • 4
    • 0027601884 scopus 로고
    • ANFIS: adaptive-network-based fuzzy inference system
    • DOI: 10.1109/21.256541
    • Jang, J.S.R., 1993. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cyber., 23: 665-685. DOI: 10.1109/21.256541
    • (1993) IEEE Trans. Syst. Man Cyber. , vol.23 , pp. 665-685
    • Jang, J.S.R.1
  • 5
    • 79951553312 scopus 로고    scopus 로고
    • The dark side of the internet: Attacks, costs and responses
    • DOI: 10.1016/j.Is.2010.11.003
    • Kim, W., O.R. Jeong, C. Kim and J. So, 2011. The dark side of the internet: Attacks, costs and responses. Inform. Syst., 36: 675-705. DOI: 10.1016/j.Is.2010.11.003
    • (2011) Inform. Syst. , vol.36 , pp. 675-705
    • Kim, W.1    Jeong, O.R.2    Kim, C.3    So, J.4
  • 6
    • 33745125863 scopus 로고    scopus 로고
    • Information gain ratio as term weight: The case of summarization of IR results
    • (COLING' 02), ACM, Stroudsburg, PA, USA. DOI: 10.3115/1072228.1072246
    • Mori, T., 2002. Information gain ratio as term weight: The case of summarization of IR results. Proceedings of the 19th International Conference on Computational Linguistics, (COLING' 02), ACM, Stroudsburg, PA, USA., pp: 1-7. DOI: 10.3115/1072228.1072246
    • (2002) Proceedings of the 19th International Conference on Computational Linguistics , pp. 1-7
    • Mori, T.1
  • 7
    • 71749107086 scopus 로고    scopus 로고
    • A survey of coordinated attacks and collaborative intrusion detection
    • DOI: 10.1016/j.Chose.2009.06.008
    • Zhou, C.V., C. Leckkie and S. Karunasekera, 2010. A survey of coordinated attacks and collaborative intrusion detection. Comput. Secu., 29: 124-140. DOI: 10.1016/j.Chose.2009.06.008
    • (2010) Comput. Secu.. , vol.29 , pp. 124-140
    • Zhou, C.V.1    Leckkie, C.2    Karunasekera, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.