Volume 2 - Issue 2, March - April 2026

The rapid growth of digital communication and multimedia data exchange, ensuring secure image transmission has become an important challenge. Traditional image encryption methods mainly focus on protecting confidentiality but do not verify whether the transmitted image has been tampered with during communication. Additionally, conventional static password-based authentication systems are vulnerable to security threats such as password theft, replay attacks, and keylogging. To address these issues, an AI-based secure image transmission system with advanced authentication mechanisms is proposed. The system uses differentiated virtual passwords, secret functions, and codebookbased authentication to strengthen user security and prevent unauthorized access. Instead of static passwords, a dynamic virtual password is generated for each login session using a user-specific secret function and a periodically updated codebook. This dynamic authentication approach prevents attackers from reusing intercepted login credentials. For secure communication, images are encrypted before transmission to protect confidentiality. At the receiver side, an Artificial Intelligence-based attack detection module analyzes the received image before decryption. The AI model detects possible attacks such as noise injection, blurring, cropping, and tampering. Decryption is performed only when the image is verified as safe, ensuring integrity and reliability in secure image transmission.

Nikhil R Babu, Dr.B.Suresh,"Design and Implementing of An AI-Based Image Authenticity Detection System" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(405-408) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.