arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2605.03494cs.CRcs.ET

基于忆阻器的轻量加密设计用于内存图像隐写术

Design of Memristive Lightweight Encryption For In-Memory Image Steganography

Seyed Erfan Fatemieh, Reza Shahdi Alizadeh, Esmail Zarezadeh

AI总结:

本文提出基于忆阻器计算内存数组架构的轻量加密方法,结合Trivium和Grain-128a流加密算法,通过改进的材料蕴含逻辑降低硬件复杂度,提升能耗效率和数据安全性。

摘要:

随着数据密集型应用的扩展和数据量的增加,提供一种高效的解决方案以应对处理器与主存之间大量数据传输导致的能耗增长和性能下降已成为严峻挑战。频繁的大量数据在内部芯片单元、内存及其互连之间的传输加剧了数据访问的脆弱性。采用忆阻器计算内存数组(CIM-A)架构可限制数据传输,从而解决这两个挑战。此外,通过将为硬件受限设备开发的轻量加密与CIM-A架构结合,可以确保数据传输过程中的安全性,尤其是在互连之间。本文实现了两种标准轻量流加密算法Trivium和Grain-128a,使用具有状态的材料蕴含(IMPLY)逻辑来解决这些综合的安全性和性能挑战。除了重新设计加密结构外,我们通过提出一种高效的位移方法来减少传统IMPLY基实现的硬件复杂性。将所提出的位移方法应用于这些加密算法的寄存器中,减少了计算步骤的数量,并将能耗分别降低了高达42%和44%。最后,对所提出的电路的性能在隐写术应用中进行了评估,证明了其实际效率。

英文摘要:

With the expansion of data-intensive applications and increasing data volumes, providing an efficient solution to address growing energy consumption and performance degradation caused by the transfer of large amounts of data between the processor and the main memory has become a severe challenge. The frequent transfer of large amounts of data between internal chip units, memories, and their interconnections exacerbates the vulnerability of the data being accessed. Employing a memristive Computation In-Memory-Array (CIM-A) architecture limits data transfer, thereby addressing both challenges. Furthermore, by integrating lightweight cryptography, developed to secure data in hardware-constrained devices, with CIM-A architectures, the security of data in transit, especially across interconnections, can be ensured. This paper implements two standard lightweight stream ciphers, Trivium and Grain-128a, for CIM using stateful material implication (IMPLY) logic to address these combined security and performance challenges. In addition to redesigning the cryptographic structures, we reduce the hardware complexity of conventional IMPLY-based implementations by proposing an efficient method for shifting data within the shift registers. Applying the proposed data-shifting method to the registers of these ciphers reduces the number of computational steps and decreases energy consumption by up to 42% and 44%, respectively, compared to conventional implementations. Finally, the performance of the proposed circuits is evaluated in a steganography application, demonstrating their practical efficiency.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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