Title: Image encryption using artificial intelligence algorithms for secure communication
Authors: S. Kumarganesh; D. Jennifer; B. Ramesh; S. Elango; A. Gopalakrishnan
Addresses: Department of Electronics and Communication Engineering at Knowledge, Institute of Technology, Salem, Tamil Nadu, India ' Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India ' Department of Electronics and Communication Engineering, Annapoorana Engineering College, Salem, Tamil Nadu, India ' Department Madanapalle Institute of Technology and Science, Chennai, Tamil Nadu, India ' Department at Knowledge Institute of Technology, Salem, Tamil Nadu, India
Abstract: Within the context of today's networks and massive amounts of data, the safe transmission of digital photographs is met with a myriad of formidable obstacles. We provide an adaptable framework with the goal of maintaining the privacy and safety of photographs that are delivered over an electronic healthcare system. In our technique, the 3D-chaotic system is used to produce a keystream, which is then applied to the picture to achieve 8-bit and 2-bit permutations respectively. The efficacy of the proposed encryption method is shown using histogram analysis, neighbouring pixel correlation analysis, anti-noise attack analysis, and resistance to occlusion attack analysis. The technique of encryption offers a number of benefits, including a high volume of information that may be encrypted, strong resilience, and a quick decryption time. This demonstrates that the scheme is capable of withstanding statistical attacks and suitable for use as a security framework in AI-based healthcare.
Keywords: image encryption; AI; healthcare; secure communication.
DOI: 10.1504/IJESDF.2025.148231
International Journal of Electronic Security and Digital Forensics, 2025 Vol.17 No.5, pp.646 - 656
Received: 22 Jun 2023
Accepted: 17 Jan 2024
Published online: 01 Sep 2025 *