The objective of this project is to design and implement an integrated image encryption system using an Enhanced Elliptic Curve Integrated Encryption Scheme (E-ECIES). The system will utilize ECC for secure key exchange, combined with symmetric encryption techniques for efficient image protection. This approach aims to ensure high security against various cryptographic attacks, including statistical, differential, and chosen-plaintext attacks, while maintaining the computational efficiency necessary for practical deployment in web applications.
This project implements an integrated image encryption system based on an Enhanced Elliptic Curve Integrated Encryption Scheme (E-ECIES). The system combines asymmetric Elliptic Curve Cryptography for secure key exchange with symmetric encryption algorithms for efficient image protection. The encryption process employs a three-phase approach: (1) Affine permutation for pixel position scrambling, (2) Elliptic curve pseudo-random sequence diffusion for pixel value alteration, and (3) Affine Power Affine (APA) S-box substitution for nonlinear confusion. The scheme utilizes SHA-256 for key derivation and incorporates timestamp-based authentication to prevent replay attacks. Implemented as a Django web application, the system provides user authentication, secure image sharing, and comprehensive audit logging. Experimental analysis demonstrates resistance to statistical, differential, and chosen-plaintext attacks while maintaining computational efficiency suitable for practical deployment.
Keywords:
Elliptic Curve Cryptography (ECC), Image Encryption, E-ECIES Protocol, Affine Power Affine (APA) S-box, Confusion-Diffusion Architecture, Secure Key Exchange, Digital Image Security, Multimedia Data Protection, SHA-256 Key Derivation, Django Web Application.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Β· Hard Disk -160GB
Β· Key Board - Standard Windows Keyboard
Β· Mouse - Two or Three Button Mouse
Β· Monitor - SVGA
Β· RAM - 4Gb
S/W CONFIGURATION:
Β· Operating System : Windows 7/8/10
Β· Server side Script : Python, HTML, MYSQL, CSS, Bootstrap.
Β· Libraries : Django, Smtlib
Β· IDE : VS Code
Β· Technology : Python 3.10+