Construction and Optimization of TRNG Based Substitution Boxes for Block Encryption Algorithms
Muhammad Fahad Khan, Khalid Saleem, Mohammed Alotaibi, Mohammad Mazyad, Hazzazi, Eid Rehman, Aaqif Afzaal Abbasi, Muhammad Asif Gondal

TL;DR
This paper introduces a new method for designing substitution boxes using true random numbers generated from natural dynamical phenomena, optimized with genetic algorithms, to enhance block cipher security.
Contribution
It presents a novel approach combining true random number generation and genetic algorithm optimization for S-box design, improving cryptographic strength.
Findings
Proposed S-boxes outperform existing designs in security metrics
Genetic algorithm effectively optimizes S-box properties
Dynamic S-boxes show robustness against cryptanalysis
Abstract
Internet of Things is an ecosystem of interconnected devices that are accessible through the internet. The recent research focuses on adding more smartness and intelligence to these edge devices. This makes them susceptible to various kinds of security threats. These edge devices rely on cryptographic techniques to encrypt the pre-processed data collected from the sensors deployed in the field. In this regard, block cipher has been one of the most reliable options through which data security is accomplished. The strength of block encryption algorithms against different attacks is dependent on its nonlinear primitive which is called Substitution Boxes. For the design of S-boxes mainly algebraic and chaos-based techniques are used but researchers also found various weaknesses in these techniques. On the other side, literature endorse the true random numbers for information security due to…
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