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Volumn 1, Issue , 2014, Pages 361-364

A new type of intrusion prevention system

Author keywords

Defense; Interaction honeypot; Intrusion detection; network security

Indexed keywords

ABILITY TESTING; INTRUSION DETECTION;

EID: 84913593582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/InfoSEEE.2014.6948132     Document Type: Conference Paper
Times cited : (12)

References (18)
  • 2
    • 46749142572 scopus 로고    scopus 로고
    • A solution to block Cross Site Scripting Vulnerabilities based on Service Oriented Architecture
    • Jayamsakthi Shanmugam and Dr. M. Ponnavaikko, "A solution to block Cross Site Scripting Vulnerabilities based on Service Oriented Architecture, " 6th IEEE/ACIS International Conference, July 2007, pp. 861-866.
    • (2007) 6th IEEE/ACIS International Conference, July , pp. 861-866
    • Shanmugam, J.1    Ponnavaikko, D.M.2
  • 3
    • 77958070206 scopus 로고    scopus 로고
    • A robust defense against Content-Sniffing XSS attacks
    • Multimedia Technology and its Applications (IDC), August
    • Misganaw Tadesse Gebre, Kyung-Suk Lhee and ManPyo Hong, "A robust defense against Content-Sniffing XSS attacks, " Digital Content, Multimedia Technology and its Applications (IDC), August 2010, pp. 315-320.
    • (2010) Digital Content , pp. 315-320
    • Tadesse Gebre, M.1    Lhee, K.2    Hong, M.3
  • 11
    • 61849085156 scopus 로고    scopus 로고
    • An evaluation of connection characteristics for separating network attacks
    • R. Berthier and M. Cukier, An evaluation of connection characteristics for separating network attacks, International Journal, vol. 4, 2009, pp. 110-124.
    • (2009) International Journal , vol.4 , pp. 110-124
    • Berthier, R.1    Cukier, M.2
  • 18
    • 21944439990 scopus 로고    scopus 로고
    • Breaking downdimensionality: An effective feature selection method for high-dimensional clustering Workshop on Clustering High Dimensional Data and its Applications, the Third
    • D. Guo, M. Gahegan, D. Peuquet, and A. MacEachren, Breaking downdimensionality: an effective feature selection method for high-dimensional clustering, Workshop on Clustering High Dimensional Data and its Applications, the Third SIAM International Conference on Data Mining, May, pp. 1-3.
    • SIAM International Conference on Data Mining, May , pp. 1-3
    • Guo, D.1    Gahegan, M.2    Peuquet, D.3    Maceachren, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.