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Anitha Patil

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Open access Aug 2026

A hybrid deep reinforcement learning framework for proactive cloud network intrusion detection using spatiotemporal feature learning

ShieldDRLNet is a hybrid deep reinforcement learning framework for proactive cloud-network intrusion detection that employs a convolutional neural network and a long short-term memory encoder to obtain a spatiotemporal traffic representation and uses a Double Deep Q-Network agent for adaptive sequential decision-making.

S. Venkatramulu, Anitha Patil, K. R. Pradeep et al. · 0 citations

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