Sequential pattern discovery for intrusion detection system

Min Feng Wang, Yen Ching Wu, Meng Feng Tsai, Cheng Hsien Tang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Intrusion Detection System (IDS) is the key technology to ensure the security of dynamic systems. We employ a sequential pattern mining approach to discover significant system call sequences to prevent malicious attacks. To reduce the computing time of generating meaningful rules, we design a weighted suffix tree structure to detect intrusive events on the fly. The experimental results show our method can substantially enhance the accuracy and efficiency of IDS.

原文???core.languages.en_GB???
主出版物標題ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies
頁面470-474
頁數5
DOIs
出版狀態已出版 - 2010
事件2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010 - Tokyo, Japan
持續時間: 26 10月 201029 10月 2010

出版系列

名字ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010
國家/地區Japan
城市Tokyo
期間26/10/1029/10/10

指紋

深入研究「Sequential pattern discovery for intrusion detection system」主題。共同形成了獨特的指紋。

引用此