A Research on Different Types of Malware and Detection Techniques
Chandini S B1, Rajendra A B2, Nitin Srivatsa G3
1Chandini S B, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
2Rajendra A B, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
3Nitin Srivatsa G, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
Manuscript received on 24 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1792-1797 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B11550882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1155.0882S819
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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: Malware has become a serious threat. Malware analysis is one of the challenging domain. The increase in the malware exploitation has made the detailed study of the malware, understand the different types of malware and its behavior model and analyze the existing detection system with their short comes to identify the research gaps [8] to solve the specific problem. So in this paper, we have presented the different malware taxonomy and different malware detection techniques with its features and also presented the malware model and the research gaps in the malware analysis domain.
Keywords: Polymorphic Virus, Malware Genesis, Self-Replicating Cellular Automata, Zero-Day Threat, Obfuscation Technique, and Anomaly-Based Detection.
Scope of the Article: Knowledge Engineering Tools and Techniques