
Armaan A. 2025 | BASIS Independent Fremont
- Project Title: Adaptive AI-Driven Encryption Framework for Dynamic Threat Environments
- BASIS Independent Advisor: Ms. Shahin
As cyber threats become increasingly sophisticated and evolve rapidly, traditional encryption methods like AES and RSA face challenges in maintaining data security. While reliable, these methods Are often applied uniformly without adjusting them to specific threats. Due to the evolution in technology, this creates vulnerabilities when attackers use advanced techniques. Additionally, current cybersecurity methodology works by overlaying multiple encryption algorithms on the data. This requires a signifiCant amount of computing power. In order to decrease the computing power required and increase efficiency in the current methodology, I plan on developing an AI-powered system that analyzes cyberattacks and predicts the most effective encryption methods, or combinations of methods, for each type of threat. This approach enables encryption to be more dynamic and targeted, increasing security and minimizing risks. The project will include an AI model trained to identify different cyberattacks, a system that recommends encryption strategies in real time based on the attack, and performance analytics from a controlled testing environment. The final outcome will be a Proof of Concept (POC) which demonstrates the practical application of adaptive encryption techniques in cybersecurity.