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Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Vehicular Ad hoc Network (VANET) is an enabling technology to provide a variety of convenient services in intelligent transportation systems, and yet vulnerable to various intrusion attacks. Intrusion detection systems ...
Dynamic Contract Design for Federated Learning in Smart Healthcare Applications
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Currently, the data collected by the Internet of Healthcare Things, i.e., healthcare oriented Internet of Things (IoT), still rely on cloud-based centralized data aggregation and processing. To reduce the need for transmission ...
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Training centralized machine learning (ML) models becomes infeasible in wireless networks due to the increasing number of internet of things (IoT) and mobile devices and the prevalence of the learning algorithms to adapt ...
Visible Forensic Investigation for Android Applications by Using Attack Scenario Reconstruction
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the widespread use of Android devices, research on their security has attracted increasing attention. However, at present, digital forensics for investigating attacks, such as social engineering attacks and phishing ...
Blockchain-based privacy-preserving valet parking for self-driving vehicles
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John Wiley and Sons Inc
, 2021 , Article)
The valet parking provides convenience for users and thus is becoming increasingly popular nowadays. However, this valet parking service incurs the risks of location information leakage and vehicle theft. To address these ...
A Hybrid Deep Reinforcement Learning for Autonomous Vehicles Smart-Platooning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The development of Autonomous Vehicles (AVs) envisions the promising technology of future Intelligent Transportation Systems (ITS). However, the complex road structures and increased vehicles cause traffic congestion and ...
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
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Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ...
Malicious mining code detection based on ensemble learning in cloud computing environment
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Elsevier B.V.
, 2021 , Article)
Hackers increasingly tend to abuse and nefariously use cloud services by injecting malicious mining code. This malicious code can be spread through infrastructures in the cloud platforms and pose a great threat to users ...
Intelligent cooperative health emergency response system in autonomous vehicles
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IEEE Computer Society
, 2021 , Conference Paper)
Recent technological advances have reshaped many aspects of our lives, especially modern transportation systems. For instance, AI and B5G Networks have raised the level of automation as autonomous vehicles (AV) become ...
Pgride: Privacy-preserving group ridesharing matching in online ride hailing services
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
An online ride hailing (ORH) service creates a typical supply-and-demand two-sided market, which enables riders and drivers to establish optimized rides conveniently via mobile applications. Group ridesharing is a novel ...