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IoTWarden-Deep-RL-based-Security-System
mmalam3 · TensorFlow
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Overview
Name
IoTWarden-Deep-RL-based-Security-System
Author
mmalam3
Framework
TensorFlow
License
MIT
Skill type
other
Evidence level
untested
Task description
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 10
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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