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Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
Security concerns for IoT applications have been alarming because of their widespread use in different enterprise systems.
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles
In this paper, we present a comprehensive survey on the application and implementation of Blockchain-Enabled Federated Learning frameworks for IoVs.
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
Nowadays, the progression of deep learning, deep transfer learning, and its impactful outcome in several areas has guided as an effective solution for network intrusion detection.
Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes
Furthermore, an effective countermeasure against the poisoning attacks on the prediction model is proposed in this paper.
Design and implementation of an islanded hybrid microgrid system for a large resort center for Penang Island with the proper application of excess energy
Since the diesel generator lead system was included in the scheme, a COE of $0. 217/kWh, CO2 of 5, 124, 879 kg/year, and NPC of $23. 25 million were attained.
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