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D. S

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Review Open access Sep 2026

A Systematic Review of Deep Learning Models for DDoS Attack Detection in Cybersecurity

Distributed Denial of Service (DDoS) attacks are still one of the biggest threats to cybersecurity. They overload network resources and cause problems for businesses, governments, and important infrastructure. Conventional detection systems frequently inadequately respond to the dynamic and extensive characteristics of...

D. S., B. Lakshmi · 0 citations
Open access Sep 2026

A Hybrid CNN–BiGRU Deep Learning Model for DDoS Attack Detection in Cybersecurity

This study proposes a hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Bidirectional Gated Recurrent Units (BiGRU) for efficient DDoS attack detection and demonstrates that the hybrid CNN–BiGRU architecture effectively improves detection accuracy and provides a reliable approach for in...

S. V, D. S., N. Deepti et al. · 0 citations
Conference Jul 2026

Poultryguard: AI-Driven Poultry Disease Detection and Clinical Decision Support Using Efficientnet-B3

Poultry farming is a critical component of global food security, yet it is highly vulnerable to fast spreading infectious diseases such as coccidiosis, salmonellosis and Newcastle disease. Conventional diagnostic pathways depend on clinical examination and laboratory tests, which are time consuming, expertise dependent...

S. K, D. S, Deeksha V Panchal et al. · 0 citations

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