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Volumn 3, Issue , 2008, Pages 1745-1750

In-the-dark network traffic classification using support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROTOCOLS; FEATURE WEIGHTS; GAIN INSIGHTS; LINEAR KERNELS; NETWORK TRAFFIC CLASSIFICATIONS; PACKET FLOWS; PROTOCOL MECHANISMS; ROBUST METHODS; SPECTRUM REPRESENTATIONS; SUPPORT VECTORS; TRAFFIC CLASSIFICATIONS;

EID: 57749094683     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (11)
  • 3
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C., and Vapnik, V. 1995. Support-vector networks. Machine Learning 20:273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 11
    • 26944447089 scopus 로고    scopus 로고
    • Using gap-insensitive string kernel to detect masquerading
    • Yin, C.; Tian, S.; and Mu, S. 2005. Using gap-insensitive string kernel to detect masquerading. In Advanced Data Mining and Applications, 323-330.
    • (2005) Advanced Data Mining and Applications , pp. 323-330
    • Yin, C.1    Tian, S.2    Mu, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.