Published on: April 2026
DETECTION OF CYBER ATTACKS TRACES IN IOT DATA
SHAIK SOHEL AKTHER
V .Prema Tulasi
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Abstract
The trained models analyze IoT network data and classify it as normal or malicious activity. Experimental results show that the neural network model achieves high accuracy in detecting cyber attacks. The proposed approach utilizes data analysis and machine learning techniques to monitor network traffic and device behavior. By examining features such as packet size, frequency, communication patterns, and unusual activities, the system can distinguish between normal and malicious operations.
How to Cite this Paper
AKTHER, S. S. (2026). Detection of Cyber Attacks Traces in IOT Data. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.309
AKTHER, SHAIK. "Detection of Cyber Attacks Traces in IOT Data." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.309.
AKTHER, SHAIK. "Detection of Cyber Attacks Traces in IOT Data." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.309.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 12 2026
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