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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia National Taiwan University Taipei 106 Taiwan Department of Electrical Engineering National Taiwan University Taipei 106 Taiwan
出 版 物:《IEEE Transactions on Vehicular Technology》 (IEEE Trans. Veh. Technol.)
年 卷 期:2009年第58卷第7期
页 面:3596-3608页
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:Manuscript received October 15, 2007 revised March 24, 2008 and July 1, 2008. Current version published August 14, 2009. The work of P. Lin was supported in part by the National Science Council (NSC), Taiwan, under Contract NSC97-2219-E-007-007, Contract NSC97-3114-E-002-004, Contract NSC96-2628-E-002-002-MY2, Contract NSC95-2221-E-002-091-MY3, Telcordia Applied Research Center Taiwan Company, Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., and Excellent Research Projects of National Taiwan University under Contract 97R0062-05. The work of S.-M. Cheng was supported in part by the NSC, Taiwan, under Contract NSC-97-2219-E-002-018. The work of W. Liao was supported in part by the NSC, Taiwan, under Grant 97-2221-E-002-135-MY2. The review of this paper was coordinated by Dr. L. Chen
主 题:Authentication
摘 要:The Mobile IP Authentication, Authorization, and Accounting (AAA) framework architecture is designed to protect signaling messages from eavesdropping by malicious attackers. The message exchanges for AAA incur heavy signaling overhead and long network access latency for mobility service. To solve this problem, the most typical approach is to adopt a key caching mechanism so that the authentication can locally be done and so that the signaling overhead can be significantly reduced. However, in the literature, very little work has conducted a thorough analytical study on the proposed key caching scheme. As a result, the statistical behavior of these schemes cannot be well justified. In this paper, we develop an analytical model that describes the key caching behavior in Mobile IP networks. The accuracy of this model is validated by simulations. Based on the performance analysis, we then propose an adaptive algorithm that dynamically adjusts key cache size so that the signaling overhead can be minimized. © 2009 IEEE.