Chaotic Attractor Neural Network-based Public-key Authentication Protocol for RFID

物联网的时代即将来临,国家“十二五“发展规划明确将物联网上升到国家战略高度。作为物联网关键技术的射频识别(rfId,rAdIO frEQuEnCy IdEnTIfICATIOn)系统的安全问题变得越来越重要。通过分析多种rfId认证协议的优缺点,基于神经网络混沌吸引子公钥加密算法提出一种新的rfId认证协议,对该协议的安全性和性能同其他安全协议进行了比较分析,结果表明该协议可以为rfId系统提供更好的安全性和较快的加解密速度,且性能较佳。With the arrival of IoT(the Internet of Things) the security issue,as the critical technology of RFID,becomes increasingly important,and China's 12th Five-Year Development Plan explicitly raises IoT to the national strategic level.This paper proposes a new chaotic attractor neural network-based public-key encryption authentication protocol for RFID security and discusses in detail the protocol security and performance.The analysis results show that the proposed protocol could provide fairly good security and relatively rapid encryption and decryption for the RFID system,and thus is of even better performance.福建省自然科学基金项目(No.A0640005);侨办基金(No.10QZR02);泉州市科技计划(No.2011G6