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Volumn , Issue , 2010, Pages

Effective Anomaly Detection with Scarce Training Data

Author keywords

Anomaly detection; training data; web application

Indexed keywords

HTTP; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; REAL TIME SYSTEMS; WEB SERVICES;

EID: 85180537732     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (47)
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    • Noise-Resistant Payload Anomaly Detection for Network Intrusion Detection Systems
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    • Kim, S.-i.1    Nwanze, N.2
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    • A Multi-model Approach to the Detection of Web-based Attacks
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    • A Framework for Constructing Features and Models for Intrusion Detection Systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.