IEHC: An efficient image encryption technique using hybrid chaotic map

Krishna Kumar, Satyabrata Roy, Umashankar Rawat and Shashwat Malhotra

Chaos, Solitons & Fractals, 2022, vol. 158, issue C

Abstract: Image encryption is essential for the transmission of the sensitive images through insecure channels used in wired or wireless communication nowadays. With the advent of cloud enabled surveillance applications, Internet of Things applications, social media communications, the requirement of image encryption is also increasing day by day. The conventional encryption schemes demand high resources in terms of processing power, memory and bandwidth resulting degradation in overall system response time. In this paper, first a novel shuffling technique has been introduced to shuffle the pixels of an input color image. Subsequently, this paper proposes an image cipher that uses Logistic map and Arnold's cat map for encryption of color images. The experimental results and various security analyses exhibit good security characteristics and also prove its robustness against various types of noises, data loss and cryptanalysis attacks, making it appropriate for implementing in real-time applications.

Keywords: IoT; Image encryption; Chaotic map; Decryption; Shuffling; Logistic map; Arnold's cat map (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922002041

DOI: 10.1016/j.chaos.2022.111994

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