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Development of an In-Vehicle Intrusion Detection Model Integrating Federated Learning and LSTM Networks
1. Introduction We live in a society where automation is commonplace. In 2022, it was estimated that there were about 30 billion active IoT (Internet of Things) devices worldwide [1], while in 2024, the number was estimated at 43 billion. Of these, it was calculated that specifically 15.14 billion were connected IoT devices, a figure expected to double by 2030 [2], as the IoT market is experiencing rapid growth, with IoT connections increasing at an average rate of 20% per year [3].
An Adaptive Energy Orchestrator for Cyberphysical Systems Using Multiagent Reinforcement Learning
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