Malware Detection using Portable Executable Header and Gradient Boosting Classification Algorithm

Abstract

The ever-increasing development of technology has created many loopholes for software attackers to commit harmful crimes. Computer system users are vulnerable to malware attacks, the spread of malware (malicious software) is one of the most common computer security problems because it causes various kinds of losses. The technique used to detect the type of malware is malware classification. The method used in malware detection is the gradient boosting classification algorithm. The increasing development of malware makes technology users have to be careful in doing something. In this case, computer system security is very important. With the creation of malware detection, system security and information security can be better maintained. The Gradient Boosting Classification algorithm is an algorithm for classification that is effective and efficient in performing malware detection. Several other studies have proven this. The Gradient Boosting Classification algorithm can classify malicious software quickly and accurately.