International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 3 July-September 2025 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.

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
Short DOI https://doi.org/g9drc4

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