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· International journal of com...· 0 citations
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.· International journal of com...· 0 citations
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.· 2026 International Conferenc...· 0 citations
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