摘要:随着RFID技术的不断发展，其在物流管理、货物监控、会议安全保障等领域的应用越来越广泛，但随之而来的安全威胁是不得不需要考虑的隐患因素.在无线通信技术中，空中接口定义了终端设备与网络设备之间的电磁连接技术规范.目前大部分RFID设备采用公开的标准通信协议进行数据传输，使得RFID系统容易遭到恶意设备的空口入侵，从而导致RFID系统面临严重的安全威胁与数据隐私保护问题.研究基于恶意读写器的实时发现，完成空口入侵的检测，避免空口数据遭到窃取，保证数据传输安全.主要利用无源感知技术对RFID信号无线信道状态信息进行分析与计算，综合运用接收信号强度、相位、吞吐量等信息，提取并建立可以描述无线信道状态信息的参数.利用提取的参数建立基于有限状态机的RFID信号感知数据推断模型，结合自适应算法得出稳态作为依据，分析判断RFID信号的具体变化，实现基于恶意读写器的RFID空口入侵检测.



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.



PDF全文下载地址:

http://jos.org.cn/jos/article/pdf/5360