ON INTRUSION DETECTION OF RFID BASED ON CHAOTIC IMMUNE CLUSTERING MODEL

摘要：

To solve the security problem that is still an obstacle to the development of Radio Frequency Identification (RFID) technique, this paper proposes a novel security strategy for the intrusion detection of RFID, which is composed of a new approach to extracting the features of RFIDs intrusion and a new technique to detect RFIDs intrusion. The proposed RFIDs intrusion detection technique employs chaotic searching strategy as the operation algorithm of the immune clustering model (ICM) to overcome its immature converge in a small region and develops a so-called chaotic immune clustering model (CICM). The experimental results show that the performance of the proposed security strategy for the intrusion detection of RFID is promising.

关键词： Radio Frequency Identification (RFID) Intrusion Detection Immune Clustering Model Search of Chaotic Strategy

作者: HAI-DONG YANG JIAN-HUA GUO ZHENG ZHONG

作者单位: College of Automation Science and Technology, South China University of Technology, Guangzhou, 51064 School of Educational Information, Technology South China Normal University.Guangzhou, 510640 China

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 417-423

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）