Anomaly secure detection methods by analyzing dynamic characteristics of the network traffic in cloud communications

Information Sciences

Volumn 258, Issue , 2014, Pages 403-415

  Xiong, Wei ^a,b   Hu, Hanping ^a   Xiong, Naixue ^c   Yang, Laurence T ^d   Peng, Wen Chih ^e   Wang, Xiaofei ^f   Qu, Yanzhen ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES   (China)

^c Colorado Technical University ^*  (United States)

^d ST FRANCIS XAVIER UNIVERSITY   (Canada)

^e NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^f Seoul National University   (South Korea)

Author keywords

Anomaly detection; Catastrophe theory; Chaotic dynamics; Cloud communication; Network traffic; Synergetic neural networks

Indexed keywords

ANOMALY DETECTION; CATASTROPHE THEORY; CHAOTIC DYNAMICS; CLOUD COMMUNICATIONS; NETWORK TRAFFIC; SYNERGETIC NEURAL NETWORKS;

CLOUD COMPUTING; COMMUNICATION; NEURAL NETWORKS; SYSTEM THEORY;

DISASTERS;

EID: 84889094568     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.04.009     Document Type: Article

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