| Title | Anides: Agent-based network intrusion detection expert system |
| Authors | Weihua, Hu Qi, Jing Yuge, Du Li, Chen Zhao, Wang Li, Cheng |
| Affiliation | China Information Technology Security Evaluation Center, China School of Software and Microelectronics, Peking University, Beijing, China School of Electronics and Computer Science, Peking University, Beijing, China Key Lab of HCST Key Lab of NSSA, Peking University, MoE, Beijing, China |
| Issue Date | 2012 |
| Publisher | international review on computers and software |
| Citation | International Review on Computers and Software.2012,7,(4),1453-1457. |
| Abstract | Most of existing network intrusion detection expert systems adopt single inference mechanism. However, both rule-based and case-based inference mechanisms have their disadvantages, and therefore these single inference mechanisms may lower the accuracy of intrusion detection. This paper proposes a rule-based and case-based mixed inference mechanism, and designs Anides, a novel agent-based network intrusion detection expert system. The experimental results prove that Anides is effective and helpful in intrusion detection. ? 2012 Praise Worthy Prize S.r.l. - All rights reserved. |
| URI | http://hdl.handle.net/20.500.11897/411422 |
| ISSN | 18286003 |
| Indexed | EI |
| Appears in Collections: | 软件与微电子学院 信息科学技术学院 |
