Data protection enhancement in smart grid communication: An efficient multi-layer encrypting approach based on chaotic techniques and steganography

Osama abd Qasim, Sajjad Golshannavaz
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Abstract

In this study, a multi-layer encryption system is proposed through which sensitive and important data in smart grids can be secured from unauthorized persons as well as cyber threats. The suggested system is analyzed using fundamental performance assessment metrics say as average processing times across ten runs, peak signal-to-noise ratio (PSNR), and root mean square error (RMSE). The encryption process involves hiding the data encrypted by a digital dictionary and the advanced encryption standard (AES) algorithm in an image. In this way, AES encryption suggests rapid processing with a short average time per each block; similarly, the decryption technique, which includes the dictionary and AES decryption also renders the results in a justified computational time nominating it as a practical approach. It is worth noting that the small key era and dictionary construction instances provoke innovations in the general efficiency of the encryption mechanism. The conducted study, based on recorded values for PSNR, RMSE, UACI, and NPCR, demonstrates that the proposed multi-layer encryption system, which incorporates dictionary encryption and AES, is a robust and a fast method to shield important information and attaining a balance between protection and computational time.
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加强智能电网通信中的数据保护:基于混沌技术和隐写术的高效多层加密方法
本研究提出了一种多层加密系统,通过该系统可以保护智能电网中的敏感和重要数据免受未经授权人员和网络威胁的侵害。该系统采用了基本的性能评估指标,如十次运行的平均处理时间、峰值信噪比(PSNR)和均方根误差(RMSE)。加密过程包括将通过数字字典和高级加密标准(AES)算法加密的数据隐藏在图像中。这样,AES 加密技术可以快速处理数据,每个数据块的平均处理时间很短;同样,解密技术(包括字典和 AES 解密)也可以在合理的计算时间内得到结果,因此是一种实用的方法。值得注意的是,小密钥时代和字典构建实例提高了加密机制的总体效率。根据所记录的 PSNR、RMSE、UACI 和 NPCR 值进行的研究表明,建议的多层加密系统结合了字典加密和 AES,是一种保护重要信息的稳健而快速的方法,并在保护和计算时间之间取得了平衡。
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