Enhanced Gradient Boosting Technique to Detect the Malware in API

Currently, one of the most crucial jobs in information security is malware detection. Since hackers are always coming up with new ways to break into computer networks and systems, it's critical to have a reliable system in place to detect and prevent any unwanted activity. Traditional antivirus software frequently misses new viruses or malware, leaving your computer open to intrusion and important data theft. It is necessary to create a new method to detect the malware. In this paper used the Enhanced Gradient Boosting method to detect the malware. It is employed to verify the outcomes of analysis and enhance the precision of detection. The implementation of the suggested method enables the identification of malicious software with a precision ranging from 98.1%, indicating a significantly high level of accuracy.