International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 17 Issue 2
April-June 2026
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Spyware Detection : A Comprehensive Review
| Author(s) | Varun Anand Baldota, Radhika Mahesh Shelar, Pranali Sanjay Parbhane |
|---|---|
| Country | India |
| Abstract | Spyware is a type of malicious software that covertly collects user data, posing a serious risk to both individuals and organizations. It can track online activities, record keystrokes, extract sensitive information, and even manipulate system controls. As spyware becomes more sophisticated, advanced detection and prevention methods are essential. This study examines various spyware detection techniques, including Signature-Based Detection, Heuristic-Based Detection, and Behavior-Based Detection. |
| Keywords | Spyware Detection, Signature-Based Detection, Behavior-Based Detection, Heuristic Detection, Machine Learning, Artificial Intelligence, Hybrid Detection. |
| Field | Computer > Network / Security |
| Published In | Volume 16, Issue 2, April-June 2025 |
| Published On | 2025-04-07 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i2.3361 |
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