论文标题
使用压缩传感的无线网络的同时加密和身份验证
Concurrent Encryption and Authentication for Wireless Networks using Compressed Sensing
论文作者
论文摘要
通常将身份验证和加密视为无线网络中的两个单独过程，本文将用户身份验证集成到解决窃听攻击的过程中。提出了一个基于压缩的传感（CS）框架，该框架操纵CS的测量矩阵以保护安全计算。该框架还能够连续身份验证和传输误差校正，并且对数据丢失具有鲁棒性。详细说明，本文首先提出了一种算法来生成一个取决于通信通道的物理属性的2D密钥。 2D密钥进一步用于生成身份验证信息和信号结构以及加密原始数据。然后，为匿名传输形成了包含数据和身份验证信息的加密消息。合法的接收器可以将身份验证信息和数据分开，并执行数据损失和传输错误的身份验证和恢复策略。使用模拟稀疏信号的Monte Carlo模拟对框架进行定量评估。研究了安全的传输性能和身份验证性能以及数据损失鲁棒性。该框架提供了一种集成的安全解决方案，可有效保护网络物理系统中的机密，隐私和稳健的通信，尤其是在资源有限和关键的至关重要的无线网络中。
Authentication and encryption are traditionally treated as two separate processes in wireless networks, this paper integrates user authentication into the process of solving eavesdropping attacks. A compressed sensing (CS)-based framework is proposed which manipulates the measurement matrix of CS to safeguard secure computationally. The framework is also capable of continuous authentication and transmission error correction and is robust to data loss. In detail, this paper first proposes an algorithm to generate a 2D key which depends on the physical property of communication channels. The 2D key is further used to generate authentication information and signal structure as well as encrypt original data. Then an encrypted message which contains both data and authentication information is formed for anonymous transmission. The legal receiver can split authentication information and data, and performing a data loss-robust and transmission error-robust authentication and recovery strategy. The framework is evaluated quantitatively using Monte Carlo simulation with simulated sparse signal. The secure transmission performance and authentication performance as well as data loss robustness are investigated. This framework provides an integrated security solution that efficiently safeguards the confidential, privacy and robust communication in cyber-physical systems, especially in resource-limited and safety-critical wireless networks.
