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@article{185676,
        author = {Faheema Hassan and Swathi Ravi M and Lajin C P and Dr. Reema Mathew A},
        title = {Literature Review on Real-Time Threat Detection and Malware Classification},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3298-3306},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185676},
        abstract = {The extensive use of open-source software and third- party components has greatly increased the attack surface of modern applications. Organizations are exposed to not only sup- ply chain attacks (in the form of backdoors), but also to hidden malware and unpatched vulnerabilities. High-profile incidents, including the use of backdoors found in some of the most popular utilities in the world, have demonstrated how serious these risks can be and how challenging it is to maintain software integrity. Meanwhile, traditional detection methods are still being under- mined by an ever-growing number of sophisticated malware variants. As a result, a timely response and classification are very much needed. Thus, real-time monitoring is the key to the exchange of security risk, anomalies and crashes before they lead to extensive disruptions. The detection of threats and malware classification is requisite in improving system resiliency, reducing the impact on enterprises and strengthening their proactive defense against cyber threats.},
        keywords = {Real-time monitoring, Malware Classification, Threat Detection, Supply Chain Attacks, Proactive Defense, Cyber Threats.},
        month = {October},
        }