中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detection of P2P botnet based on network behavior features and Dezert-Smarandache theory

文献类型:期刊论文

作者Song, Yuanzhang; Chen, Yuan; Wang, Junjie; Wang, Anbang; Li, Hongyu
刊名Journal of Southeast University (English Edition)
出版日期2018
卷号34期号:2页码:191-198
关键词Peer to peer networks Botnet Entropy Feature extraction Kalman filters Network protocols
ISSN号10037985
DOI10.3969/j.issn.1003-7985.2018.02.008
英文摘要In order to improve the accuracy of detecting the new P2P(peer-to-peer) botnet, a novel P2P botnet detection method based on the network behavior features and Dezert-Smarandache theory is proposed. It focuses on the network behavior features, which are the essential abnormal features of the P2P botnet and do not change with the network topology, the network protocol or the network attack type launched by the P2P botnet. First, the network behavior features are accurately described by the local singularity and the information entropy theory. Then, two detection results are acquired by using the Kalman filter to detect the anomalies of the above two features. Finally, the above two detection results are fused with the Dezert-Smarandache theory to obtain the final detection results. The experimental results demonstrate that the proposed method can effectively detect the new P2P botnet and that it considerably outperforms other methods at a lower degree of false negative rate and false positive rate, and the false negative rate and the false positive rate can reach 0.09 and 0.12, respectively. 2018, Editorial Department of Journal of Southeast University. All right reserved.
源URL[http://ir.ciomp.ac.cn/handle/181722/60629]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Song, Yuanzhang,Chen, Yuan,Wang, Junjie,et al. Detection of P2P botnet based on network behavior features and Dezert-Smarandache theory[J]. Journal of Southeast University (English Edition),2018,34(2):191-198.
APA Song, Yuanzhang,Chen, Yuan,Wang, Junjie,Wang, Anbang,&Li, Hongyu.(2018).Detection of P2P botnet based on network behavior features and Dezert-Smarandache theory.Journal of Southeast University (English Edition),34(2),191-198.
MLA Song, Yuanzhang,et al."Detection of P2P botnet based on network behavior features and Dezert-Smarandache theory".Journal of Southeast University (English Edition) 34.2(2018):191-198.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。