Cryptographic security for IoT : Leveraging Feistel-permutation network for enhanced encryption

Singh, Kiran Deep; Singh, Prabh Deep; Saini, G. L.; Panwar, Deepak; Goyal, Dinesh

doi:10.47974/JDMSC-1890

Open Access Research Article

Cryptographic security for IoT : Leveraging Feistel-permutation network for enhanced encryption

Kiran Deep Singhkdkirandeep@gmail.comDepartment of Computer Science and EngineeringChitkara University Institute of Engineering and TechnologyChitkara UniversityRajpura, Punjab, IndiaView full profile → , Prabh Deep Singhssingh.prabhdeep@gmail.comDepartment of Computer Science and EngineeringGraphic Era (Deemed to be University)Dehradun, Uttrakhand, IndiaView full profile → , ^*G. L. SainiCorresponding authorglsaini86@gmail.comDepartment of Computer Science and EngineeringManipal University JaipurJaipur, Rajasthan, IndiaView full profile → , Deepak Panwardeepakpanwar03@gmail.comDepartment of Computer Science and EngineeringManipal University JaipurJaipur, Rajasthan, IndiaView full profile → , Dinesh Goyaldinesh8dg@gmail.comDepartment of Computer Science and EngineeringPoornima Institute of Engineering and TechnologyJaipur, Rajasthan, IndiaView full profile →

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pp. 559–568Vol. 27Issue 2-BMarch 2024DOI: 10.47974/JDMSC-1890 Crossmark XML

Published Online:: 11 Apr 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1890
Pages:: 559–568

Abstract

The emergence of the Internet of Things (IoT) has initiated an era where numerous devices are interconnected, resulting in the generation of significant volumes of data. Data security is an issue raised by this increase in communication, especially when it comes to picture encryption. Traditional encryption methods create considerable challenges in resource-constrained IoT environments. In this paper, a novel encryption-based framework known as the Feistel-Permutation Network Hybrid is proposed. It effectively safeguards IoT image data. A comprehensive performance evaluation by utilizing MATLAB that shows the effectiveness of the algorithm used. The findings offer valuable insights into the efficacy of the algorithm. Also, the areas for further investigation within the ever-evolving field of IoT image encryption are discussed.

Keywords

Privacy-preserving Cryptography Secure force algorithm Intelligent encryption systems Medical image protection

Subject Classifications

68M25 Computer Security

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