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January 1, 2026International Journal of Information and Computer Security

Hybrid optimised deep learning model for detecting malicious nodes in mobile network

Gotte Ranjith Kumar K. Suresh Babu

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Key Points

The aim is to develop a hybrid deep learning model to identify malicious nodes within mobile networks effectively.
Developed a hybrid optimized deep learning model to enhance detection accuracy.
Implemented in a simulated mobile network environment to assess model performance.
Utilized various detection algorithms to compare effectiveness.
Achieved a detection accuracy of over 92% with the hybrid model.
Significantly reduced false positives, improving network security measures.
Demonstrated superior performance compared to traditional detection methods.

Implication

Demonstrates enhanced detection of malicious nodes in mobile networks, suggesting improved security protocols.

Abstract

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Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/6a192e39fab5b468c44172b1 https://doi.org/10.1504/ijics.2026.10078813

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