메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1141-1142

A general framework for adaptive and online detection of web attacks

Author keywords

Anomaly detection; Clustering; Intrusion detection

Indexed keywords

ANOMALY DETECTION; AUDIT DATA; CLUSTERING; CONCEPT DRIFTS; DEFENSE IN DEPTH; DETECTION MODELS; LOG DATA; NORMAL BEHAVIOR; ON-LINE DETECTION; ONLINE CLUSTERING METHOD; SECURITY FRAMEWORKS; STREAMING DATA; TESTING RESULTS; WEB ATTACKS;

EID: 84865659147     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1526709.1526897     Document Type: Conference Paper
Times cited : (3)

References (3)
  • 1
    • 45749146270 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • M. Ester. A density-based algorithm for discovering clusters in large spatial databases with noise. In KDD, 1996.
    • (1996) KDD
    • Ester, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.