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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59688
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AES Using LFSR (Linear Feedback Shift Register) is an approach that integrates the AES encryption algorithm with the use of LFSR-based techniques to enhance the performance, security, and hardware efficiency of the cryptographic system. AES (Advanced Encryption Standard) is one of the most widely used symmetric-key encryption algorithms, offering high security and fast encryption. However, the need for efficient hardware implementations has led to the exploration of various methods to speed up the encryption process while maintaining security. The integration of LFSR into the AES structure primarily targets the generation of pseudo-random key streams for key expansion or stream cipher generation, improving the randomness and speed of the key schedule, which is a vital part of the AES algorithm. By utilizing LFSR-based key generation techniques, the AES cipher can achieve faster processing speeds, lower hardware complexity, and reduced power consumption in embedded systems, FPGA, and ASIC implementations. This method focuses on optimizing the AES algorithm’s key expansion process by replacing traditional methods with LFSR-based key generation, enhancing the overall throughput while maintaining the encryption strength. The use of LFSR also provides a more flexible and scalable approach, allowing for higher-speed cryptographic operations in hardware implementations. In this paper, we present the design and implementation of an AES encryption system using LFSR-based key generation and compare it with conventional AES implementations in terms of performance, area efficiency, and power consumption. Experimental results demonstrate that this LFSR-enhanced AES approach significantly improves the throughput, making it suitable for high-performance and resource-constrained environments, particularly in IoT devices, mobile platforms, and real-time cryptographic applications.
KEYWORDS
Publication Date
10/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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