Anti-Malware System Using Machine Learning Language
Journal Title: International Journal of Advanced Research in Science and Technology (IJARST) - Year 2024, Vol 13, Issue 5
Abstract
In today's interconnected digital landscape, the proliferation of malicious software, or malware, poses a grave threat to the security and integrity of computer systems and data. To combat this ever-evolving menace, there is a pressing need for innovative and intelligent anti-malware solutions. This abstract introduces an advanced model: the "Intelligent Anti- Malware System Using Machine Learning Language." This model leverages the power of machine learning, a subfield of artificial intelligence, to revolutionize the way we detect and mitigate malware threats. Unlike traditional signature-based approaches, which are limited by their reliance on known patterns, our system employs cutting-edge machine learning techniques to proactively identify and combat malware in real- time. By continuously learning from evolving malware behaviours and characteristics, the system adapts and evolves alongside the threat landscape.
Authors and Affiliations
1Challa Mahesh Kumar, 2T S Y N Amith, 3N V D Aditya, 4Bezwada Karthikeya, 5Elima hussian
Keywords
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- EP ID EP738883
- DOI 10.62226/ijarst20241361
- Views 47
- Downloads 0
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