Integrated Malware Analysis Using Markov Based Model in Machine Learning
S.S Subashka Ramesh1, Kartik Singh Rathore2, Ritik Raj3, Kumar Vatsalya4, Mridula Vatsa5
1S.S. Subashka Ramesh, Assistant Professor, Department of Computer Science & Engineering, SRM Institute of Science& Technology, Ramapuram, Chennai (Tamil Nadu), India.
2Kartik Singh Rathore, Assistant Professor, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Ramapuram, Chennai (Tamil Nadu), India.
3Ritik Raj, Student, Department of Computer Science & Engineering, SRM Institute of Science& Technology, Ramapuram, Chennai Chennai (Tamil Nadu), India.
4Kumar Vatsalya, Student, Department of Computer Science & Engineering, SRM Institute of Science& Technology, Ramapuram, Chennai (Tamil Nadu), India.
5Mridula Vatsa, Student, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 219-222 | Volume-8 Issue-4, April 2019 | Retrieval Number: D5987048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Malicious Attacker, Static Analysis, Dynamic Analysis, Markov Model.
Scope of the Article: Machine Learning