Malware Detection Using Artificial Intelligence: Techniques, Research Issues and Future Directions
Zahra Jabeen1, Khushboo Mishra2, Mohit Kumar Mishra3, Binay Kumar Mishra4
1Zahra Jabeen, Department of Computer Science, Veer Kunwar Singh University, Ara (Bihar), India.
2Khushboo Mishra, Department of Physics, Veer Kunwar Singh University, Ara (Bihar), India.
3Mohit Kumar Mishra, Department of Electronics, Manipal University, Jaipur (R.J), India.
4Binay Kumar Mishra, Department of Physics, Veer Kunwar Singh University, Ara (Bihar), India.
Manuscript received on 27 July 2024 | Revised Manuscript received on 02 August 2024 | Manuscript Accepted on 15 October 2024 | Manuscript published on 30 October 2024 | PP: 1-5 | Volume-14 Issue-1, October 2024 | Retrieval Number: 100.1/ijeat.A453114011024 | DOI: 10.35940/ijeat.A4531.14011024
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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: Artificial intelligence (AI) is an effective technology used for upgrading the security posture against a variety of security challenges and cyber-attacks that cyber security teams may use. Malware is a software which aims to access a device without the explicit permission of its owner. Forensics investigations report that many organizations have encountered unusual records, collected by their antiviral security monitoring systems. Most of their arrangements skeptically pass a large amount of diplomatic data through various unethical strategies that make malware identification tougher. However, these procedures have varied limitations that call for an unused inquiry about the track. This study explores the complex relationship between malware detection and AI [1]. This paper provides insights into performance evaluation metrics and discusses several research issues that impede the effectiveness of existing techniques. The study also provides recommendations for future research directions and is a valuable resource for researchers and practitioners working in the field of malware detection.
Keywords: Artificial Intelligence, Malware, Cyber Security, Antivirus, Cyber Attack
Scope of the Article: Artificial Intelligence & Methods