A Lightweight AES Algorithm Optimization for NoC Communication

In response to the contradiction between high throughput and low hardware overhead faced by data encryption in Network on Chip (NoC) communication, this paper proposes a lightweight AES implementation method based on chaos initial permutation (IP) matrix and look up table optimization based on composite field $\mathrm{GF}\left(2^{4}\right)^{2}$. By introducing the Logistic-Tent composite chaotic system to generate a nonlinear initial permutation matrix, replacing the SubBytes operation, randomness of the diffusion layer is effectively improved; Composite filed $\mathrm{GF}\left(2^{4}\right)^{2}$ compress the storage size of the look up table to 12.5% of the original structure (from 4KB to 0.25KB). The average encryption time is optimized by 26.6% compared with SIMON, and only increase 4.5% average execution time of base NoC in Gem5 simulator. NIST tests are also used to evaluate the effectiveness of proposed algorithm. All results have shown that this method significantly improves the adaptability of AES in NoC.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/iscait64916.2025.11010433
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Lightweight AES Algorithm Optimization for NoC Communication

Lin Gu, Chenhao Liu
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Advanced Memory and Neural Computing
article

A Lightweight AES Algorithm Optimization for NoC Communication

Lin Gu, Chenhao Liu
article en

Abstract

In response to the contradiction between high throughput and low hardware overhead faced by data encryption in Network on Chip (NoC) communication, this paper proposes a lightweight AES implementation method based on chaos initial permutation (IP) matrix and look up table optimization based on composite field $\mathrm{GF}\left(2^{4}\right)^{2}$. By introducing the Logistic-Tent composite chaotic system to generate a nonlinear initial permutation matrix, replacing the SubBytes operation, randomness of the diffusion layer is effectively improved; Composite filed $\mathrm{GF}\left(2^{4}\right)^{2}$ compress the storage size of the look up table to 12.5% of the original structure (from 4KB to 0.25KB). The average encryption time is optimized by 26.6% compared with SIMON, and only increase 4.5% average execution time of base NoC in Gem5 simulator. NIST tests are also used to evaluate the effectiveness of proposed algorithm. All results have shown that this method significantly improves the adaptability of AES in NoC.

China Electronics Technology Group Corporation (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 90%
Advanced Memory and Neural Computing
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