INLEC: An involutive and low energy lightweight block cipher for internet of things

Created by W.Langdon from gp-bibliography.bib Revision:1.8414

@Article{Feng:2024:pmcj,

• author = "JiaYi Feng and Lang Li and LiuYan Yan and ChuTian Deng",
• title = "{INLEC:} An involutive and low energy lightweight block cipher for internet of things",
• journal = "Pervasive and Mobile Computing",
• year = "2024",
• volume = "105",
• pages = "101991",
• keywords = "genetic algorithms, genetic programming, Lightweight block cipher, Substitution Permutation Networks, Involutive S-box, Permutation, Low energy",
• ISSN = "1574-1192",
• URL = "https://www.sciencedirect.com/science/article/pii/S1574119224001160",
• DOI = "doi:10.1016/j.pmcj.2024.101991",
• abstract = "The Internet of Things (IoT) has emerged as a pivotal force in the global technological revolution and industrial transformation. Despite its advancements, IoT devices continue to face significant security challenges, particularly during data transmission, and are often constrained by limited battery life and energy resources. To address these challenges, a low energy lightweight block cipher (INLEC) is proposed to mitigate data leakage in IoT devices. In addition, the Structure and Components INvolution (SCIN) design is introduced. It is constructed using two similar round functions to achieve front-back symmetry. This design ensures coherence throughout the INLEC encryption and decryption processes and addresses the increased resource consumption during the decryption phase in Substitution Permutation Networks (SPN). Furthermore, a low area S-box is generated through a hardware gate-level circuit search method combined with Genetic Programming (GP). This optimisation leads to a 47.02percent reduction in area compared to the S0 of Midori, using UMC 0.18mum technology. Moreover, a chaotic function is used to generate the optimal nibble-based involutive permutation, further enhancing its efficiency. In terms of performs, the energy consumption for both encryption and decryption with INLEC is 6.88 muJ/bit, representing 25.21percent reduction compared to Midori. Finally, INLEC is implemented using STM32L475 PanDuoLa and Nexys A7 FPGA development boards, establishing an encryption platform for IoT devices. This platform provides functions for data acquisition, transmission, and encryption",

}

Genetic Programming entries for JiaYi Feng Lang Li LiuYan Yan ChuTian Deng

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