Integrated malware analysis using markov based model in machine learning

Abstract

In the world full of advanced gadgets and communication rolled out everywhere, in order to overcome the malicious nature of any attacker, it is necessary and an important aspect to analyses and detect malware. The gadgets now a days are used for internal transaction and also in banking sector which enhances their vulnerabilities which a malicious attacker can use up to his advantage. There are several types of analysis mainly static and dynamic analysis which can be used depending on the condition and the nature of attack. Time is an important factor and here, the Markov model surpasses Noriben as it takes a lot lesser time and is more efficient.