Shen Qian, Liu Wenbo, Lin Yi, Zhu Yongjun
College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210000, China.
School of Electronic & Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Sensors (Basel). 2019 Jul 12;19(14):3081. doi: 10.3390/s19143081.
Wireless visual sensor networks (WVSN) have been widely used to capture images in the fields of monitoring, intelligent transportation, and reconnaissance in recent years. Because of the wireless transmission mode and the huge amount of image data, major challenges in this application are frequent information stealing, big data problems, and harsh communication circumstances. Some encryption schemes based on compressive sensing (CS) and chaotic systems have been proposed to cope with these threats, but most of them are vulnerable against the chosen-plaintext attack (CPA). To remedy these defects, this paper designs a novel method based on non-uniform quantization (NQ). Then, in order to evaluate the true compression ratio (CR), our work takes into account limited data precision in cipher images, while most papers ignored this fact and calculated CR with the assumption of infinite data precision. Besides, to eliminate the periodic windows in the bifurcation diagram of the logistic map (LM), an optimized logistic map (OLM) is designed. Furthermore, simulation results prove that the performance of anti-jamming in the proposed cryptosystem is better than that in existing schemes under the condition of strong noise interference or severe data loss. In conclusion, the proposed method could improve the performance of security and anti-jamming for WVSN.
近年来，无线视觉传感器网络（WVSN）已被广泛应用于监控、智能交通和侦察等领域的图像采集。由于无线传输模式和大量的图像数据，该应用中的主要挑战包括频繁的信息窃取、大数据问题以及恶劣的通信环境。已经提出了一些基于压缩感知（CS）和混沌系统的加密方案来应对这些威胁，但其中大多数容易受到选择明文攻击（CPA）。为了弥补这些缺陷，本文设计了一种基于非均匀量化（NQ）的新颖方法。然后，为了评估真实压缩率（CR），我们的工作考虑了密文图像中的有限数据精度，而大多数论文忽略了这一事实，并在假设数据精度无限的情况下计算CR。此外，为了消除逻辑斯谛映射（LM）分岔图中的周期窗口，设计了一种优化的逻辑斯谛映射（OLM）。此外，仿真结果证明，在所提出的密码系统中，在强噪声干扰或严重数据丢失的情况下，抗干扰性能优于现有方案。总之，所提出的方法可以提高WVSN的安全性和抗干扰性能。
