Results 261 to 270 of about 8,418,759 (309)
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IEEE Transactions on Dependable and Secure Computing, 2023
Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices to accomplish the same sensing task. However, in vehicular networks, how to evaluate the reliability of sensing vehicles and achieve lightweight privacy ...
Yudan Cheng +5 more
semanticscholar +1 more source
Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices to accomplish the same sensing task. However, in vehicular networks, how to evaluate the reliability of sensing vehicles and achieve lightweight privacy ...
Yudan Cheng +5 more
semanticscholar +1 more source
IEEE Transactions on Wireless Communications, 2023
Vehicles are hesitant to upload data to edge servers in vehicle edge computing (VEC) as many vehicle data collected and perceived by various on-board sensors contain sensitive and personal information and lack economic incentive.
Huizi Xiao +4 more
semanticscholar +1 more source
Vehicles are hesitant to upload data to edge servers in vehicle edge computing (VEC) as many vehicle data collected and perceived by various on-board sensors contain sensitive and personal information and lack economic incentive.
Huizi Xiao +4 more
semanticscholar +1 more source
Conceptualizing and Measuring (Public) Reputation Management
Perspectives on Public Management and Governance, 2023This article develops and empirically validates a conceptualization of reputation management in a public sector context. We define reputation management as management behaviors intended to identify and affect how external audiences perceive an ...
M. Pedersen, H. Salomonsen
semanticscholar +1 more source
An Anonymous Reputation Management System for Mobile Crowdsensing Based on Dual Blockchain
IEEE Internet of Things Journal, 2022In mobile crowdsensing (MCS), sensing data uploaded by dishonest workers may be false or even malicious. Thus, a reputation management system is often set up by using workers’ historical behaviors to indicate the quality of sensing data.
Hao-Tian Wu +3 more
semanticscholar +1 more source
2023
The classical literature review-based chapter commences by unpacking reputation management in the entrepreneurial context and highlighting advantages, disadvantages, and its intrinsic link to business performance. Drawing from a diverse range of scholarly works, the chapter examines the factors influencing reputation perception, including brand ...
Edwill Mtengwa, Chenjerai Muchenje
openaire +1 more source
The classical literature review-based chapter commences by unpacking reputation management in the entrepreneurial context and highlighting advantages, disadvantages, and its intrinsic link to business performance. Drawing from a diverse range of scholarly works, the chapter examines the factors influencing reputation perception, including brand ...
Edwill Mtengwa, Chenjerai Muchenje
openaire +1 more source
A Reputation Management Scheme for Efficient Malicious Vehicle Identification over 5G Networks
IEEE wireless communications, 2020A reputation management scheme plays a critical role for secure communications in vehicular networks. However, due to the limited wireless communication in the past few years, the existing solutions fail to capture the current high-performance network ...
Shen Su +5 more
semanticscholar +1 more source
CrowdR-FBC: A Distributed Fog-Blockchains for Mobile Crowdsourcing Reputation Management
IEEE Internet of Things Journal, 2020Mobile crowdsourcing is a promising strategy for trusted data collection in Internet-of-Things (IoT) applications. In this article, we propose a new fog-blockchain distributed approach for crowdsourcing reputation management to prevent user’s privacy ...
Yao Yu +5 more
semanticscholar +1 more source
IEEE Internet of Things Journal
Blockchain-assisted federated learning (BFL) can achieve decentralized storage and management of model data without relying on a central server. However, security issues caused by deliberate attacks in distributed systems and efficiency issues induced by
Weihao Zhu +6 more
semanticscholar +1 more source
Blockchain-assisted federated learning (BFL) can achieve decentralized storage and management of model data without relying on a central server. However, security issues caused by deliberate attacks in distributed systems and efficiency issues induced by
Weihao Zhu +6 more
semanticscholar +1 more source

