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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM13815
Volume:
6 |
5 |
May 2022
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, or malicious software, is a harmful program created to damage, steal, or gain control over computer systems without the user’s permission. It includes different types such as viruses, worms, Trojans, ransomware, and spyware. With the fast growth of the internet and digital technologies, malware attacks have increased sharply. Cybercriminals use malware for stealing data, locking systems for ransom, spying on users, or spreading through networks. Reports from 2023 show that more than 450,000 new malware samples are found every day, which makes it one of the biggest problems in cybersecurity today. Malware analysis is the process of studying these harmful programs to understand how they work and how they can be stopped. This involves using methods like static analysis (studying the code), dynamic analysis (running it in a safe environment), reverse engineering, and AI-based tools. This research paper explains the different types of malwares, how they spread, and how detection systems try to stop them. It also shows results with charts to compare attack methods and detection success. The study concludes that modern AI and machine learning tools are more effective against new and unknown malware, but continuous research and awareness are needed to stay safe from future cyber threats.
KEYWORDS
Publication Date
12/18/2025
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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