International Journal of Engineering and Information Systems (IJEAIS)
  Year: 2021 | Volume: 5 | Issue: 1 | Page No.: 88-93
A Review on the Use of Machine Learning Techniques in Information Security
Waseem Ahmad and Abubakarsidiq Makame Rajab

Abstract:
- Machine learning techniques are adopted in many scientific fields due to their unique characteristics, such as scalability and the ability to adapt quickly to new and unknown challenges. Information security is a rapidly growing area and has much interest due to the great advancement in social networks, web, online banking services, cloud technologies, mobile environment, etc. Many machine learning methods have been used to deal with information security problems. This review highlights machine learning applications in the information security field and problems related to the safety of machine learning technologies themselves, and how to use it in information security in hackers' attacks and defense, including the attacks on machine learning models. This review also explains the application of machine learning in information security, such as the detection and classification of spam, fake news, spyware, malware, and viruses and prevention of threats.