In this work, we obtain an area proficient composite field arithmetic Advanced Encryption Standard (AES) Substitution (S) byte and its inverse logic design. The size of this design is calculated by the number of gates used for hardware implementation. Most of the existing AES Substitution box hardware implementation uses separate Substitution byte and its inverse hardware structures. But we implement the both in the same module and a control signal is used to select the substitution byte for encryption operation and its inverse for the decryption operation. By comparing the gate utilization of the previous AES S–Box implementation, we reduced the gate utilization up to 5% that is we take only 78 EX-OR gates and 36 AND gates for implementing the both Substitution byte and its inverse. While implementing an AES algorithm in circuitry or programming, it is liable to be detected by hackers using any one of the side channel attacks. Data to be added with a random bit sequence to prevent from the above mentioned side channel attacks.
The implementation of residue number system reverse converters based on well-known regular and modular parallel prefix adders is analyzed. The VLSI implementation results show a significant delay reduction and area × time 2 improvements, all this at the cost of higher power consumption, which is the main reason preventing the use of parallel-prefix adders to achieve high-speed reverse converters in recent systems. Hence, to solve the high power consumption problem, novel specific hybrid parallel-prefix based adder components that provide better trade-off between delay and power consumption are herein presented to design reverse converters. We propose Parallel distributed arithmetic convolution technique in Reverse Converter to increase the system performance
KeywordsDigital arithmetic, parallel-prefix adder (PPX), residue number system (RNS), parallel distributed arithmetic convolution architecture, reverse converter.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.