Enhancing Data Security through the Synergy of AI and AES Encryption: A Comprehensive Study and Implementation
Anupama Budhewar, Sayonee Bhumgara, Abhishek Tekavade, Jayditya Nandkar, Atharva Zanwar · 2024
In today's digital era, safeguarding data is crucial. This paper examines the combination of Artificial Intelligence (AI) and Advanced Encryption Standard (AES) for enhanced data security. We integrate the k-Nearest Neighbors (k-NN) algorithm with AES encryption to fortify data protection across various domains. This study highlights the strengths and limitations of both AI and AES, and demonstrates how k-NN’s pattern recognition capabilities enhance AES’s robustness against evolving threats. The practical implementation for secure file transmissions and confidential data storage is also discussed.