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Dipannita Mondal

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Open access Oct 2026

A Hybrid Deep Learning Approach for Enhancing Cybersecurity Threat Detection in Cloud Computing Environments

The widespread adoption of cloud computing has introduced significant cybersecurity challenges associated with distributed infrastructure, virtualization, multi-tenant resource sharing, and rapidly evolving network attacks. Conventional intrusion detection systems frequently rely on predefined signatures and static det...

Dipannita Mondal · 0 citations
Open access Oct 2026

A Deep Learning-Based Intelligent Framework for Real-Time Network Traffic Classification and Anomaly Detection in Distributed Computing Systems

The increasing deployment of distributed computing systems, cloud platforms, edge networks, and interconnected digital services has significantly increased the complexity of network traffic monitoring and cybersecurity management. Conventional network traffic classification and anomaly detection techniques frequently e...

Dipannita Mondal · 0 citations

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