A Comprehensive Survey of Malware Detection and Classification

DOI

https://www.doi.org/10.59256/indjcst.20260503010

Published In

Volume 5, Issue 3 (2026)

Published Online

September-December 2026

Pages

79-83

Article Type

Review Article

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As People become more dependent on digital technologies, the risk of cyber-attacks, particularly malware infections, escalates significantly. To prevent unauthorized access, data breaches and service disruption it is essential to have effective malware detection mechanisms is essential to prevent unlawful access, data breaches, and service disruptions. An effective malware detection approach helps users safeguard their digital assets, maintain user confidence, and comply with industry standards. This survey paper provides an overview of contemporary methodologies used in the detection and analysis of malicious code, like signature identification, behavioral analysis, heuristic analysis, sandbox analysis and machine learning methods.