International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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

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Unveiling Threats in the Iot: Anomaly Detection for Attack Classification

Author(s) Samba Manisha, B. Srinivasa S P Kumar
Country India
Abstract My research contributes to the advancement of IoT security by providing a robust and scalable solution for anomaly detection attack classification. By leveraging the capabilities of machine learning in conjunction with IoT-specific optimizations, we aim to fortify the resilience of IoT ecosystems against emerging cyber threats, thereby safeguarding critical infrastructure and ensuring the continued proliferation of connected devices in the digital age.
Field Computer Applications
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-27
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.22429
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E-ISSN 2582-2160
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