Developing an API for Block-Cipher Encryption powered by Supervised Learning
Atif Tirmizi, Osama “Sam” Abuomar, Khaled M. Alzoubi · 2021 International Conference on Computational Science and Computational Intelligence (CSCI) · 2021
In cryptography, one of the standard classes of algorithms used today is called Advanced Encryption Standard (AES). Although these algorithms provide sufficient strength, they are not unbreakable, either by quantum computing or adversaries trying to decipher data. This study shows the potential of using machine learning (ML) by building an application Programming Interface (API) driven framework for encryption and decryption that utilizes ML to add abstracted layers of security over encrypted data. This abstracted data can only be interpreted by the developed framework. The utilization of this API will ultimately provide a cohesive system that can limit many vulnerabilities and prove how ML can be utilized as a tool against cyber-attacks.