An Edge-Computing Based Task-Unloading Technique with Privacy Protection for Internet of Connected Vehicles

2021 ◽  
Author(s):  
Hasnain Ali Almashhadani ◽  
Xiaoheng Deng ◽  
Suhaib Najeh Abdul Latif ◽  
Mohammed Mohsin Ibrahim ◽  
Ali Hussien Alshammari
Keyword(s):  
Privacy Protection ◽  
Edge Computing ◽  
Connected Vehicles

scholarly journals IEEE Access Special Section Editorial: Communication and Fog/Edge Computing Toward Intelligent Connected Vehicles (ICVS)

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 63740-63744
Author(s):  
Lei Shu ◽  
Junhui Zhao ◽  
Yi Gong ◽  
Changqing Luo ◽  
Tim Gordon
Keyword(s):  
Special Section ◽  
Edge Computing ◽  
Connected Vehicles

Data Privacy Protection for Edge Computing of Smart City in a DIKW Architecture

2019 ◽  
Vol 81 ◽  
pp. 323-335 ◽  
Author(s):  
Yucong Duan ◽  
Zhihui Lu ◽  
Zhangbing Zhou ◽  
Xiaobing Sun ◽  
Jie Wu
Keyword(s):  
Smart City ◽  
Privacy Protection ◽  
Data Privacy ◽  
Edge Computing ◽  
Data Privacy Protection

Edge-computing enhanced privacy protection for industrial ecosystems in the context of SMEs

2019 ◽  
Author(s):  
Alexander Giehl ◽  
Peter Schneider ◽  
Maximilian Busch ◽  
Florian Schnoes ◽  
Robin Kleinwort ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Edge Computing ◽  
Industrial Ecosystems

scholarly journals Collaboration of Smart City Services with Appropriate Resource Management and Privacy Protection

2021 ◽  
Vol 3 (1) ◽  
pp. 43-51
Author(s):  
Subarna Shakya
Keyword(s):  
Smart City ◽  
Privacy Protection ◽  
Privacy Preservation ◽  
Simulation Analysis ◽  
Intelligent Transportation ◽  
Edge Computing ◽  
Processing Ability ◽  
The City ◽  
Collaborative Diagnosis ◽  
High Processing

Smart city is a quickly developing approach that is powered by Internet of Things (IoTs), providing a number of services such as collaborative diagnosis and intelligent transportation. In general, in a smart city, the terminals have certain limitations that crib their capability of processing cross application and diversified services. Due to insufficient availability of resources that can be used to develop a collaborative smart city services, a novel methodology that is highly recommended is edge computing which holds facility with high processing ability in the city terminals. However, the threat of privacy and safety of information in the collaborative services is crucial in order to ensure a safer environment of edge computing. To address this privacy issue, we have proposed an offloading method that can be used in smarty city to strengthen the privacy, promote edge utility and improve offloading efficiency. In order to establish balance between the collaborative service and privacy preservation, edge computing is integrated with information entropy. The performance is further verified using simulation analysis in appropriate environment.

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