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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM27515
Volume:
7 |
12 |
Dec 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Malware detection is a critical issue in modern cy-bersecurity due to the rapid increase in sophisti-cated cyberattacks. Traditional detection tech-niques, such as signature-based methods, are often ineffective against new and evolving malware threats. Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), offers advanced solutions for detecting both known and unknown malware. AI-based systems analyze large datasets, recognize hidden patterns, and iden-tify suspicious behaviors in real time. This paper presents a brief overview of how AI improves malware detection accuracy, reduces re-sponse time, and enhances overall cybersecurity protection.
KEYWORDS
Publication Date
3/16/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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