Machine Learning and Applied Cryptography.

In the paper entitled "Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms", L. G. Jun et al. proposed the applications of the machine learning-based spam detection method for accurate detection. The data extraction process of the review showed that (1) latent Dirichlet allocation topic modeling is among the widely used machine learning algorithms in the selected studies and (2) precision and recall are amongst the most utilized evaluation methods for measuring the performance of these machine learning algorithms. Machine learning (ML) and cryptography have many things in common, for instance, the amount of data to be handled and large search spaces. [Extracted from the article]