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Volumn 2000-January, Issue , 2000, Pages 41-45

HIDSUR: A hybrid intrusion detection system based on real-time user recognition

Author keywords

Best practices; Computer architecture; Computer networks; Computer science; Computerized monitoring; Electronic mail; Information systems; Intrusion detection; Protection; Real time systems

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER CRIME; COMPUTER NETWORKS; COMPUTER SCIENCE; ELECTRONIC MAIL; EXPERT SYSTEMS; HYBRID SYSTEMS; INFORMATION SYSTEMS; INTERACTIVE COMPUTER SYSTEMS; MERCURY (METAL); NETWORK ARCHITECTURE; REAL TIME SYSTEMS;

EID: 33645379586     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2000.875002     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 6
    • 84949939296 scopus 로고    scopus 로고
    • Temporal-probabilistic networks in intrusion detection: Detecting abnormal learning
    • Beijing, China, Kluwer
    • A. Seleznyov. Temporal-probabilistic networks in intrusion detection: Detecting abnormal learning. In 16th IFIP World Computer Congress, Beijing, China, 2000. Kluwer.
    • (2000) 16th IFIP World Computer Congress
    • Seleznyov, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.