Using statistical analysis and support vector machine classification to detect complicated attacks

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Volumn 5, Issue , 2004, Pages 2747-2752

  Tian, Ming ^a,b   Chen, Song Can ^b   Zhuang, Yi ^b   Liu, Jia ^b  

^a YANCHENG INSTITUTE OF TECHNOLOGY   (China)

^b NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Anomaly Detection; Statistical Analysis; Support Vector Machine; Time Window

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER NETWORKS; DEMODULATION; LEARNING SYSTEMS; SOFTWARE AGENTS; SOFTWARE PROTOTYPING; STATISTICAL METHODS; THRESHOLD ELEMENTS;

ANOMALY DETECTION; DETECTION SYSTEMS; SUPPORT VECTOR MACHINES (SVM); TIME WINDOW;

ALARM SYSTEMS;

EID: 6344223434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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