基于免疫网络的RFID入侵检测模型研究

Intrusion detection model for RFID system based on immune network

针对无线射频识别技术(RFID)的加密认证等安全策略在廉价标签上的局限性,采用入侵检测作为RFID系统的新型安全策略,通过分析RFID系统的典型安全攻击,基于人工免疫网络,提出了入侵特征提取方法和入侵分析方法,建立了一个自适应的RFID入侵检测模型。该模型在不需要修改RFID已有技术标准的前提下,与加密认证等已有安全策略互补提升RFID系统的安全防护能力。试验证明该模型具有极低的误检率和漏检率。

It is very hard to develop encryption technology used in cheap Radio Frequency Identification （RFID） tags. In this paper, intrusion detection, as a new methodology, was adopted to create security model for RFID system. By analyzing typical security attacks on RFID systems, and based on artificial immune network, a solution to extract intrusion characteristics and to identify intrusion was proposed, A self-adaptive intrusion detection model for RFID system was designed. The model can enhance the defense capabilities of RFID systems by cooperating with encryption technology, but has no need to amend the technical standards of RFID. Stimulation results prove that the mistake rate and miss rate of the model are fairly low.