An S-box Design Using Irreducible Polynomial with Affine Transformation for Lightweight Cipher

Rana, Muhammad; Mamun, Quazi; Islam, Rafiqul

doi:10.1007/978-3-030-91424-0_13

Cited by 5 publications

(1 citation statement)

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“…IoT security strategies prioritise maintaining information accuracy, confidentiality, and accountability. To contribute to the evolving IoT security paradigm, our research focuses on developing a lightweight cryptographic protocol capable of establishing within resource-constrained IoT environments [ 2 , 3 , 4 ]. This project involves designing and implementing various components of cryptographic protocols, including S-boxes, P-boxes, encryption, and decryption techniques, to create a robust block cipher-based solution.…”

Section: Introductionmentioning

confidence: 99%

Enhancing IoT Security: An Innovative Key Management System for Lightweight Block Ciphers

Rana,

Mamun,

Islam

2023

Sensors

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This research paper presents a study on designing and implementing a robust key management scheme for lightweight block ciphers in Internet of Things (IoT) networks. Key management is a critical concern for IoT devices due to their limited resources and susceptibility to security threats. The proposed scheme utilises partial key pre-distribution to achieve lightweight and secure key management. The protocol’s security has been analysed against various attacks, demonstrating its resistance. Performance evaluation results indicate that the proposed key management technique is suitable for resource-constraint IoT networks, as it reduces communication overhead, power consumption, and storage space requirements. The methodology employed in this research includes designing and implementing the proposed key management scheme and conducting scenario-based analyses of its functionality. The results affirm that the proposed solution effectively ensures secure communication in IoT networks. Overall, this research contributes to developing a secure and efficient key management scheme for lightweight block ciphers in IoT networks.

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Section: Introductionmentioning

confidence: 99%