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This paper explores the use of memristive Computation In-Memory-Array (CIM-A) architecture combined with lightweight cryptography (Trivium and Grain-128a stream ciphers) to enhance data security and reduce energy consumption in data-intensive applications. They propose an efficient data-shifting method within shift registers to reduce hardware complexity and computational steps. Results show energy consumption reductions of up to 42% and 44% compared to conventional implementations, validated through a steganography application.
Computation-in-memory combined with lightweight cryptography slashes energy consumption by up to 44% in steganography applications.
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.
