Parallel botnet detection system by using GPU

Che Lun Hung, Hsiao Hsi Wang

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

In recent years, botnet is one of the major threats to network security. Many approaches have been proposed to detect botnets by comparing bot features. Usually, these approaches adopt traffic reduction strategy as first step to reduce the flow to following strategies by filtering packets. With the rapid development of network hardware and software the network speed has reached to multi-gigabit. However, analyzing header and payload of every packet consumes huge amount of computational resources and is not suitable for many realistic situations. Although signature-based solutions are accurate, it is not possible to detect bot variants in real-time. In this study, we proposed a GPU-based botnet detection approach. The experimental results show that the network traffic reduction stage on GPU can achieve about 8x times over CPU based botnet detection tool. The proposed algorithm can used to improve the performance of botnet detection tools efficiently.

原文English
主出版物標題2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings
編輯Wenai Song, Simon Xu, Lichao Chen, Yan Han, Roger Lee
發行者Institute of Electrical and Electronics Engineers Inc.
頁面65-70
頁數6
ISBN(電子)9781479948604
DOIs
出版狀態Published - 26 9月 2014
事件2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings - Taiyuan, China
持續時間: 4 6月 20146 6月 2014

出版系列

名字2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings

Conference

Conference2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings
國家/地區China
城市Taiyuan
期間4/06/146/06/14

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