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Volumn , Issue , 2008, Pages 151-156

An empirical evaluation of entropy-based traffic anomaly detection

Author keywords

Anomaly detection; Entropy

Indexed keywords

ANOMALY DETECTION; BEHAVIORAL FEATURES; DEGREE DISTRIBUTIONS; EMPIRICAL EVALUATIONS; ENTROPY VALUES; IP ADDRESS; TIME-SERIES; TRAFFIC ANOMALIES; TRAFFIC DISTRIBUTIONS; TRAFFIC VOLUMES;

EID: 63049084484     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1452520.1452539     Document Type: Conference Paper
Times cited : (292)

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    • An Empirical Evaluation of Entropy-Based Traffic Anomaly Detection
    • Tech. Rep. CMU-CS-08-145, Computer Science Department, Carnegie Mellon University
    • Nychis, G., Sekar, V., Andersen, D. G., Kim, H., and Zhang, H. An Empirical Evaluation of Entropy-Based Traffic Anomaly Detection. Tech. Rep. CMU-CS-08-145, Computer Science Department, Carnegie Mellon University, 2008.
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    • Nychis, G.1    Sekar, V.2    Andersen, D.G.3    Kim, H.4    Zhang, H.5
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    • Prefix-preserving IP Address Anonymization: Measurement-based Security Evaluation and New Cryptography-based Scheme
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    • Xu, K.1    Zhang, Z.2    Bhattacharyya, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.