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Volumn 7, Issue 10, 2011, Pages 1560-1564

A novel local network intrusion detection system based on support vector machine

Author keywords

Intrusion detection; Local area network; Network Intrusion Detection System (NIDS); Radial Bias Function (RBF); Standard Security Mechanism (SSM); Support vector machine

Indexed keywords


EID: 80053185397     PISSN: 15493636     EISSN: None     Source Type: Journal    
DOI: 10.3844/jcssp.2011.1560.1564     Document Type: Article
Times cited : (8)

References (10)
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    • DOI: 10.3844/jcssp.2011.341.347 DOI: 10.3844/JCSSP.2011.341.347)
    • Ektefa, M. F. Sidi, H. Ibrahim, M.A. Jabar and S. Memar, 2011. Comparative study in classification techniques for unsupervised record linkage model. J. Comput. Sci., 7: 341-347. DOI: 10.3844/jcssp.2011.341.347 DOI: 10.3844/JCSSP.2011.341.347
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    • DOI: 10.1109/72.991427)
    • Hsu, C.-W., C.-J. Lin, 2002. A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Networks, 13: 415-425. DOI: 10.1109/72.991427
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.