RFID Air Interface Intrusion Detection Technology Based on Malicious Reader Discovery

doi:10.13328/j.cnki.jos.005360

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Home > Archive>Volume 29, Issue 7, 2018 >1922-1936. DOI:10.13328/j.cnki.jos.005360

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RFID Air Interface Intrusion Detection Technology Based on Malicious Reader Discovery
DOI:
                        10.13328/j.cnki.jos.005360
                    
Author:
                        HUANG Wei-QingHUANG Wei-Qing
School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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DING ChangDING Chang
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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CUI YueCUI Yue
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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WANG Si-YeWANG Si-Ye
School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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ZHANG Yan-FangZHANG Yan-Fang
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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ZHAO Bo-BaiZHAO Bo-Bai
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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ZHU Shao-YiZHU Shao-Yi
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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MAO RuiMAO Rui
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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CHEN ChaoCHEN Chao
Institute of Information Engineering, The Chinese Academy of Sciences, Beijing 100093, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100093, China
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Fund Project:National High Technology Research and Development Program of China (863) (2013AA014002)

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Abstract:

With the continuous development of RFID technology, its applications in logistics management, cargo monitoring, conference security and other fields are becoming broader and broader. In wireless communication technology, the air interface defines the technical specification of the radio link between the terminal device and the network device. Most of the current RFID devices use common standardized communication protocol for data transmission, which makes the RFID systems suffer air interface intrusion by malicious devices. The air interface intrusion can then cause the security threats and data privacy protection problem in RFID systems. This study accomplishes the detection of air interface intrusion based on the real-time discovery of malicious readers. It avoids theft of data and ensures the security of data transmission. The paper mainly uses passive sensing technology for the analysis and calculation of the RFID signal, channel state and throughput information. Parameters are extracted from the received signal strength, phase and other state information to describe the wireless channel state. The extracted parameters and finite-state machine theory are used to build a perception data inference model of RFID signal and to obtain an initial steady state according to the adaptive algorithm. As a result, the specific change of RFID signal can be analyzed to complete the detection of RFID air interface intrusions.

Key words:security of IoT;passive RFID;air interface invasion;privacy protection

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黄伟庆,丁昶,崔越,王思叶,张艳芳,赵博白,诸邵忆,毛锐,陈超.基于恶意读写器发现的RFID空口入侵检测技术.软件学报,2018,29(7):1922-1936

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Received:May 29,2017
Revised:July 13,2017
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Online: October 17,2017
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