Identification of Algorithm from the Given Dataset using AI/ML Techniques

Category: Software
Organization: National Technical Research Organisation (NTRO)

Abstract

This project proposes an AI-Driven Cryptographic Algorithm Identification Tool that analyzes datasets to identify the cryptographic algorithms used. The tool will enhance the security of cryptographic systems by detecting potential weaknesses.

Key Components

• AI/ML Models: Use AI and machine learning models to analyze encrypted data and identify the underlying algorithm.
• Data Pattern Recognition: Employ pattern recognition techniques to detect specific features indicative of certain cryptographic methods.
• Automation: Automate the process of algorithm identification and provide detailed reports on the findings.

Expected Outcome: The tool will help in improving cryptographic systems by identifying and rectifying vulnerabilities, ensuring stronger data security.

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