Immune-based multi-agent model for RFID security

Hai Dong Yang, Jian Hua Guo, George Q. Huang, Guo Sheng Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The concern on security and privacy exposure is one of the main barriers for the wide expansion of Radio-FVequency Identification (RFID) technique into practice. In this paper, a multi-agent model for enhancing RFID security is proposed. The proposed model, acting as the biological immune mechanism embodied in the RFID system, provides an active detection and defense function for potential security risks. It can distinguish the intrusion behaviors effectively through detection, self-adaptive, and epigenetic memory by introducing the artificial immune algorithm and association study in the analysis of intrusion behaviors. Experimental resuits show that the proposed agent-based immune method significantly enhances the RFID security.

Original languageEnglish
Pages (from-to)7597-7610
Number of pages14
JournalInformation (Japan)
Volume16
Issue number10
Publication statusPublished - Oct 2013
Externally publishedYes

Keywords

  • Artificial immune model
  • Multi-agent system
  • Radio-FVequency identification (RFID)
  • Security and privar cy

ASJC Scopus subject areas

  • Information Systems

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