Extract Compliance-Related Evidence Using Machine Learning
Hussain Alattas, Fatema Mohammed Almassary, Noof Rashed AlMahasheer, Reema Mubarak Alammari, Huda Ayad Alswaidan, Naya Nagy, Munirah Ali Almoqbel, Saad Abdulrahman Alharthi · 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) · 2022
This paper discusses the intersection between cybersecurity and machine learning. Machine learning is able to read documents and automatically extract, evaluate, and check if they meet the expected evidence value based on trained algorithms. Cybersecurity compliance assessment requires massive documents check and image reviews and is often assessed by concerned parties manually. Automating the compliance assessment process using machine learning has huge benefits in the regards of time, speed as well as costs. The paper's objective is to analyze and assess the procedures of previously proposed models, datasets, and their results within the specified scope. The major aim of this research paper is to summarize the current compliance automation algorithms using machine learning.