To Identify Malware Using Machine Learning Algorithms

Today's world depends on cyberspace since it is very useful for collecting information, data and transporting them in a secured manner. This security may be broken by various attackers by injecting malware to another device through various ways such as malicious links generally. Malware is like software that may harm the system of the user. The most commonly used malware nowadays is ransomware coverts files or any data to unused form by encryption and demands money for regaining original data. So we need a method to detect it to stop it to work in any condition like updating its signature etc. We propose a method to identify different types of malwares including ransomware with the use of API call data. We achieve the highest accuracy of 0.9636.