A Lightweight Multi-Chaos-Based Image Encryption Scheme for IoT Networks

Title

A Lightweight Multi-Chaos-Based Image Encryption Scheme for IoT Networks

Creator

Jain K.; Titus B.; Krishnan P.; Sudevan S.; Prabu P.; Alluhaidan A.S.

Description

The swift development of the Internet of Things (IoT) has accelerated digitalization across several industries, offering networked applications in fields such as security, home automation, logistics, and quality control. The growth of connected devices, on the other hand, raises worries about data breaches and security hazards. Because of IoT devices' computational and energy limits, traditional cryptographic methods face issues. In this context, we emphasize the importance of our contribution to image encryption in IoT environments through the proposal of Multiple Map Chaos Based Image Encryption (MMCBIE), a novel method that leverages the power of multiple chaotic maps. MMCBIE uses multiple chaotic maps to construct a strong encryption framework that considers the inherent features of digital images. Our proposed method, MMCBIE, distinguishes itself by integrating multiple chaotic maps like Henon Chaotic Transform and 2D-Logistic Chaotic Transform in a novel combination, a unique approach that sets it apart from existing schemes. Compared to other chaotic-based encryption systems, this feature renders them practically indistinguishable from pure visual noise. Security evaluations and cryptanalysis confirm MMCBIE's high-level security properties, indicating its superiority over existing image encryption techniques. MMCBIE demonstrated superior performance with NPCR (Number of Pixel Changing Rate) score of 99.603, UACI (Unified Average Changing Intensity) score of 32.8828, MSE (Mean Square Error) score of 6625.4198, RMSE (Root Mean Square Error) score of 80.0063, PSNR (Peak Signal to Noise Ratio) score of 10.2114, and other security analyses. 2013 IEEE.

Source

IEEE Access, Vol-12, pp. 62118-62148.

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Chaotic systems; data encryption; image encryption; Internet of Things (IoT); key mixing; network security

Coverage

Jain K., Amrita Vishwa Vidyapeetham, Amritapuri Campus, Center for Cybersecurity Systems and Networks, Kollam, 690525, India; Titus B., Amrita Vishwa Vidyapeetham, Amritapuri Campus, Center for Cybersecurity Systems and Networks, Kollam, 690525, India; Krishnan P., Amrita Vishwa Vidyapeetham, Amritapuri Campus, Center for Cybersecurity Systems and Networks, Kollam, 690525, India; Sudevan S., Amrita Vishwa Vidyapeetham, Amritapuri Campus, Center for Cybersecurity Systems and Networks, Kollam, 690525, India; Prabu P., Christ (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India; Alluhaidan A.S., Princess Nourah Bint Abdulrahman University, College of Computer and Information Sciences, Department of Information Systems, Riyadh, 11564, Saudi Arabia

Rights

All Open Access; Gold Open Access

Relation

ISSN: 21693536

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1109/ACCESS.2024.3377665

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188416922&doi=10.1109%2fACCESS.2024.3377665&partnerID=40&md5=3f8b8945b75f849edaa90132baae5a02