| 计算机技术、自动化技术 |
|
|
|
|
| 基于多代理的混合式入侵检测系统模型 |
| 张宝军1,潘雪增1,王界兵2,平玲娣1 |
| (1.浙江大学 计算机科学与技术学院,浙江 杭州 310027；2. 汉帆（杭州）信息技术有限公司,浙江 杭州 310012) |
|
| Multi-agent based hybrid Intrusion detection system |
| ZHANG Bao-jun1, PAN Xue-zeng1, WANG Jie-bing2,PING Ling-di1 |
(1.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;
2.Hifn (Hangzhou) Information Technology Limited Company, Hangzhou 310012, China) |
引用本文:
张宝军, 潘雪增, 王界兵, 等. 基于多代理的混合式入侵检测系统模型[J]. J4, 2009, 43(6): 987-993.
ZHANG Bao-Jun, BO Xue-Ceng, WANG Jie-Bing, et al. Multi-agent based hybrid Intrusion detection system. J4, 2009, 43(6): 987-993.
链接本文:
http://www.zjujournals.com/xueshu/eng/CN/10.3785/j.issn.1008-973X.2009.
或
http://www.zjujournals.com/xueshu/eng/CN/Y2009/V43/I6/987
|
| ［1］ HEADY R, LUGER G, MACCABE A, et al. The architecture of a network level intrusion detection system ［R］. New Mexico: Department of Computer Science, University of New Mexico, 1990．
［2］ ANDERSON J P. Computer security threat monitoring and surveillance ［R］. Fort Washington, Pennsylvania: James P Anderson Co., 1980．
［3］ DENNING D E. An intrusion-detection model ［J］. IEEE Transaction on Software Engineering, 1987, 13(2): 222232．
［4］ LUNT T F, JAGANNATHAN R, LEE R, et al. Development and application of IDES: a real-time intrusion detection expert system ［R］. California, USA: SRI International, 1988．
［5］ HEBERLEIN L T, DIAS G V, LEVITT K N, et al. A network security monitor ［C］∥ Proceedings of the IEEE Symposium on Research in Security and Privacy. Los Alamitos, California: IEEE Computer Society, 1990: 296305．
［6］ SNAPP S R, BRENTANO J, DIAS G V, et al. DIDS (distributed intrusion detection system) - motivation, architecture, and an early prototype ［C］∥ Proceedings of the 14th National Computer Security Conference. Baltimore, USA: NIST, 1991: 167176．
［7］ SNAPP S R, SMAHA S E, GRANCE T, et al. The DIDS (distributed intrusion detection system) prototype ［C］∥ Proceedings of the USENIX Summer 1992 Technical Conference. San Antonio, Texas: Usenix Association, 1992: 227233．
［8］ CROSBIEM, SPAFFORD E. Defending a computer system using autonomous agonts\
[R\]. Indiana: COAST Laboratorg, Purdue University, West Lafayette,1994.
[9] BALASUBRAMANIYAN J S, GARCIA-FERNANDEZ J O, LSACOFF D, et al. An architecture for intrusion detection using autonomous agents ［R］. West Lafayette: Purdue University, COAST Laboratory, 1998．
［10］ SPAFFORD E H, ZAMBONI D. Intrusion Detection Using Autonomous Agents ［J］. Computer Networks, 2000, 34(4): 547570．
［11］ CHEUNG S, CRAWFORD R, DILGER M, et al. The design of GrIDS: a graph-based intrusion detection system ［R］. Davis, CA: University of California at Davis, Department of Computer Science, 1999．
［12］ CANNADY J. Artificial neural networks for misuse detection ［R］. Fort Lauderdale: Nova Southeastern University, 1998: 113．
［13］ CHAVAN S, SHAH K, DAVE N, et al. Adaptive neuro-fuzzy intrusion detection system ［C］∥ IEEE International Conference on Information Technology: Coding and Computing (ITCC’04). Las Vegas, Nevada, USA: IEEE Computer Society, 2004, 1: 7073．
［14］ ESPONDA F, FORREST S, HELMAN P. A formal framework for positive and negative detection ［J］. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 2004, 34(1): 357374．
［15］ MUKKAMALA S, SUNG A H, ABRAHAM A. Intrusion detection using ensemble of soft computing paradigms ［C］∥ Third International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications, Advances in Soft Computing. Germany: Springer Verlag, 2003: 239248. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
