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Volumn 6, Issue 8, 2011, Pages 1715-1722

Application of singular spectrum analysis to the noise reduction of intrusion detection alarms

Author keywords

Alarm noise; Intrusion detection; SSA

Indexed keywords

ABNORMAL COMPONENTS; ALARM NOISE; BACKGROUND NOISE; DETECTION ALGORITHM; DETECTION APPROACH; EVALUATION RESULTS; FALSE ALARMS; INTRINSIC DIMENSIONS; INTRUSION DETECTION SYSTEMS; LABOR INTENSIVE; MANUAL ANALYSIS; MODEL ACCURACY; NONSTATIONARY; NORMAL COMPONENT; REAL NETWORKS; RESIDUAL COMPONENTS; SINGULAR SPECTRUM ANALYSIS; SSA; STATIONARY MODELS; SYSTEM BEHAVIORS;

EID: 80051622137     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.6.8.1715-1722     Document Type: Article
Times cited : (7)

References (13)
  • 9
    • 84885774862 scopus 로고    scopus 로고
    • A framework for constructing features and models for intrusion detection systems
    • W. Lee, S. J. Stolfo, A Framework for Constructing Features and Models for Intrusion Detection Systems, ACM Transactions on Information and System Security 3(4) (2000) 227-261
    • (2000) ACM Transactions on Information and System Security , vol.3 , Issue.4 , pp. 227-261
    • Lee, W.1    Stolfo, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.