基于2D-SCML图像加密和格密码的车联网盲签名方案,Expert Systems with Applications

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基于2D-SCML图像加密和格密码的车联网盲签名方案
Expert Systems with Applications ( IF 7.5 ) Pub Date : 2024-01-11 , DOI: 10.1016/j.eswa.2024.123215
Mengli Gao , Jinqing Li , Xiaoqiang Di , Xusheng Li , Mingao Zhang

当今的车联网在数据传输过程中面临诸多安全风险，而图像数据由于其信息量大、可视性高等特殊特性，在传输过程中更容易受到安全威胁。因此，为了保证车联网环境下数据传输的可靠性，本文设计了一种基于二维正余弦交叉混沌映射（2D-SCML）图像加密和格密码（BSS-IoV）的车联网盲签名方案。该方案的创新点在于针对图像信息的盲签名，在发送信息前对其进行盲化，并结合格公钥加密算法，更好地保证信息传输的安全可靠，降低信息泄露的风险。为了进一步保证方案的安全性，提出了一种基于2D-SCML和像素分割的图像加密算法（2PS-IEA），用于对信息进行盲化，一方面降低信息泄露的风险，另一方面另一方面用于签名过程，保证签名信息的安全。 2D-SCML源自本文提出的跨模型结构。通过仿真结果和实验分析，NPCR和UACI的值分别为99.6094%和33.4635%，接近理想值。并且50%的剪切图像也能恢复出粗糙信息，这表明该签名方案具有抵抗差分攻击、剪切攻击和噪声攻击的安全性。此外，安全分析表明该方案具有抗篡改、抗否认和可追溯性。

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A blind signature scheme for IoV based on 2D-SCML image encryption and lattice cipher

Today’s Internet of Vehicles (IoV) faces many security risks in the data transmission process, and image data is more vulnerable to security threats in the transmission process due to its special characteristics such as large amounts of information and high visibility. Therefore, to guarantee the dependability of data transmission in the IoV environment, this paper designs a blind signature scheme for IoV based on two-dimensional sine cosine cross-chaotic mapping (2D-SCML) image encryption and lattice cipher (BSS-IoV). The innovation of this scheme is that it aims at blind signature of image information, blinds it before sending the information, and combines the lattice public key encryption algorithm to better ensure the safe and reliable transmission of information and reduce the risk of information disclosure. To further ensure the security of the scheme, an image encryption algorithm based on 2D-SCML and pixel splitting (2PS-IEA) is proposed, which is used to blind the information and thus reduce the risk of information leakage on the one hand, on the other hand, it is used in the signature process to ensure the security of the signed information. The 2D-SCML is derived from the cross-model structure proposed in this paper. Through simulation results and experimental analysis, the values of NPCR and UACI, respectively, 99.6094% and 33.4635%, are close to ideal values. And 50% of the cut image can also recover the rough information, which indicates that the signature scheme has the security against differential attacks, cut attacks and noise attacks. Moreover, the security analysis shows that the scheme has the anti-tamper, anti-repudiation and traceability.

更新日期：2024-01-11

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