Obfuscated Malware Detection Using Artificial Neural Network (ANN)

Thinking about life without using the internet is impossible. Internet and network have become a part of our daily life. Sharing confidential information through internet and doing lots of important and confidential official work is done easily by using internet. One side internet has made life easy and another side is it cheap and fast compare to other methods such as letter or fax. With the growing technology some third party cybercriminals and hackers are trying to use the internet for their personal gain and harm the users or organizations. Malware is one of those malicious software whose sole purpose is to harm the user, system or organization and steal information and sent it to third party for harmful use. It is necessary to find this malicious software and prevent them from harming through the internet. The proposed model detects the harmful malware lurking on the internet and prevent the user and system from any potential harmful effect. The model is very simple and cost effective yet very efficient. the accuracy of the model is 99.72%.