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Market-Based Model in CR-IoT: A QProbabilistic Multi-agent Reinforcement Learning Approach
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The ever-increasing urban population and the corresponding material demands have brought unprecedented burdens to cities. To guarantee better QoS for citizens, smart cities leverage emerging technologies such as the Cognitive ...
A novel chaos-based physical layer security transmission scheme for internet of things
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
The Internet of Things (IoT) has attracted much attention in many fields, such as healthcare, transportation, finance and other critical infrastructures. But how to ensure the security of whole IoT system and the privacy ...
Intersection Fog-Based Distributed Routing for V2V Communication in Urban Vehicular Ad Hoc Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the characteristics of urban vehicular ad hoc networks (VANETs), many difficulties exist when designing routing protocols. In this paper, we focus on designing an efficient routing strategy for vehicle-to-vehicle ...
Cluster-based Cooperative Multicast for Multimedia Data Dissemination in Vehicular Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the development of communication technologies, vehicular network applications have evolved from basic traffic safety and efficiency applications to information and entertainment applications. The implementation of ...
An Electric Vehicle Charging Reservation Approach Based on Blockchain
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The popularity of electric vehicles depends on convenient and efficient charging services. At present, none of existing charging services allow users to reach charging stations at desirable time and charge immediately when ...
RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
While the widespread use of ubiquitously connected devices in Internet of Everything (IoE) offers enormous benefits, it also raises serious privacy concerns. Federated learning, as one of the promising solutions to alleviate ...
Identifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering
(
Science in China Press
, 2020 , Article)
The anonymity mechanism of bitcoin is favored by the society, which promotes its usage and development. An adversary should not be able to discover the relation between bitcoin addresses and bitcoin users to ensure effective ...
Fog-Based Conditional Privacy-Preserving Data Batch Verification in Smart Grid
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The smart grid is already widespread for the purpose of managing energy generation and distribution. In this system, frequent interactions between devices generate mass data, which requires robust processing capability. ...
A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
As a typical application scenarios of Internet of Things (IoT), Internet of Vehicles (IoV) is playing an important role in the field of intelligent transportation. In such a system, vehicles are allowed to collect ambient ...
Protecting private cloud located within public cloud
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
Many studies use cryptographic technologies to protect sensitive data in public cloud. However, these approaches may introduce large overheads. Recently, hybrid cloud started to gain a lot of attentions. A hybrid cloud ...