Title :
On intrusion detection of RFID based on chaotic immune clustering model
Author :
Yang, Hai-dong ; Guo, Jian-hua ; Zhong, Zheng
Author_Institution :
Coll. of Autom. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
Abstract :
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 RFID´s intrusion and a new technique to detect RFID´s intrusion. The proposed RFID´s 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.
Keywords :
chaotic communication; radiofrequency identification; telecommunication security; RFID; chaotic immune clustering model; chaotic searching strategy; immature converge; intrusion detection; security strategy; Chaos; Cryptography; Cybernetics; Educational technology; Feature extraction; Immune system; Information security; Intrusion detection; Machine learning; Radiofrequency identification; Immune Clustering Model; Intrusion Detection; Radio Frequency Identification (RFID); Search of Chaotic Strategy;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212501