IP flow data correlation with inference rules

Ci Bin Jiang, Jung-Shian Li

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In recent years, IP flow identification in botnet detection attracts attentions in network security. IP flows associated with bot masters can be used to trace the botnet source. Most botnets suffer a large of IP-based attacks. This paper attempts to explore the correlations between attack behaviors and IP flows. By data collection, sets of functions concerning inference rules and conversion of data format, this paper successfully identifies the botnet attacks by IP flows and the inference patterns. The IP flow-based intrusion detection can efficiently find alert data correlation.

原文English
主出版物標題MEMS, NANO and Smart Systems
頁面1211-1213
頁數3
DOIs
出版狀態Published - 2012 一月 1
事件2011 7th International Conference on MEMS, NANO and Smart Systems, ICMENS 2011 - Kuala Lumpur, Malaysia
持續時間: 2011 十一月 42011 十一月 6

出版系列

名字Advanced Materials Research
403-408
ISSN(列印)1022-6680

Other

Other2011 7th International Conference on MEMS, NANO and Smart Systems, ICMENS 2011
國家Malaysia
城市Kuala Lumpur
期間11-11-0411-11-06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

指紋 深入研究「IP flow data correlation with inference rules」主題。共同形成了獨特的指紋。

  • 引用此

    Jiang, C. B., & Li, J-S. (2012). IP flow data correlation with inference rules. 於 MEMS, NANO and Smart Systems (頁 1211-1213). (Advanced Materials Research; 卷 403-408). https://doi.org/10.4028/www.scientific.net/AMR.403-408.1211