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IoTWarden-Deep-RL-based-Security-System

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A Deep Q-Network based RL solution, namely IoTWarden, developed using TensorFlow, OpenAI Gym, and Python. Simulated a vulnerable IoT environment using Gym, where a defense agent optimally takes actions to block attack activities in real-time. Trained the RL model for 250 episodes, each containing 100 epochs.

Creat2023-05-11T17:02:20
Update2024-10-27T21:26:02
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