An efficient truthfulness privacy-preserving tendering framework for vehicular fog computing-Reference-Cited by-同舟云学术

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An efficient truthfulness privacy-preserving tendering framework for vehicular fog computing

Published:2020-05 Issue: Volume:91 Page:103583
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Alamer Abdulrahman,Basudan Sultan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference37 articles.

1. Vehicle as a mobile sensor;Abdelhamid;Procedia Comput. Sci.,2014

2. Vehicle as a resource (VaaR);Abdelhamid;IEEE Netw.,2015

3. A secure and privacy-preserving incentive framework for vehicular cloud;Alamer,2018

4. A privacy-preserving incentive framework for the vehicular cloud;Alamer,2018

5. A privacy-preserving and truthful tendering framework for vehicle cloud computing;Alamer,2017

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