Impact Analysis of Malware Based on Call Network API With Heuristic Detection Method

Abstract

Malware is a program that has a negative influence on computer systems that do not have user permission. The purpose of malware by hackers is to gain profit in an illegal way. Therefore we need a malware analysis that aims to find out the specifics of malware so that security can be built to protect computer devices. One method for analyzing malware is heuristic detection. Heuristic detection is an analytical method that allows to find new types of malware in a file or application. A lot of malware is created to attack through the internet because of technological advances. Under these conditions, a malware analysis is performed using the call network API with the heuristic detection method. This aims to identify the behavior of malware that attacks the network. The results of the analysis carried out is that most malware is spyware, which is lurking for user activity and retrieving user data without the user's knowledge. In addition, there is also malware that is as adware, which displays advertisements through pop-up windows on computer devices that interfere with user activity. So with these results, it can also be identified actions that can be taken by users to protect their computer devices, such as by installing antivirus or antimalware, not downloading unauthorized applications and not accessing insecure websites.