Improving Randomness of Symmetric Encryption for Consumer Privacy Using Metaheuristic-Based Framework

In order to maintain data privacy and security for consumers, data encryption is closely related to our daily lives. Symmetric encryption is currently the most widely used encryption method in consumer electronics fields, especially in services involving Internet-of-Thing devices due to easy usage, and quick and lower computing costs. However, most of symmetric encryptions adopt a quite linear key generation scheme so that the generated keys still have higher opportunity to be cracked. In this article, we define a model to identify the generated key's randomness and further propose a novel metaheuristic-based key generation framework to improve the symmetric encryption drawbacks.