OSX malware detection : Challenges and solutions

Abstract

Due to the popularity of Mac OS X, the number of its users is increasing. It attracted the attention of malware designers. Various techniques are used by researchers to address the same problem. The preparation of a proper dataset that is balanced and labeled is a big challenge. Our purpose is to study various techniques of literature and observe multiple challenges and solutions.

Subject Classification:

• 68T01
• 68T20

Keywords:

• Intelligent techniques
• malware
• deep learning