Secure Service Offloading for Internet of Vehicles in SDN-Enabled Mobile Edge Computing

Currently, Edge computing (EC) paradigm is adopted to provision the low-latency resources for the massive real-time services in Internet of vehicles (IoV). To alleviate the QoE (Quality of Experience) degradation of the vehicular users due to the uncertainties (e.g., resource conflicts and communicating interruption), software-defined network (SDN) is involved in the EC-enabled IoV to manage the cooperative operation of distributed edge nodes (ENs). However, the increasing privacy leakage for the IoV service offloading causes the disclosure of the sensitive information, including driving location, personal information of the driver, etc. Moreover, the regulation of SDN is practically insufficient, as the general control is incompetent to maintain balanced operation with the premise of efficient service utility. In view of these challenges, a secure service offloading method, named SOME, is designed to promote IoV service utility and edge utility, meanwhile ensuring privacy security, in SDN-enabled EC. Specifically, an SDN-based framework for IoV service management is developed to address the inherent uncertainty of edge network by SDN controllers. Besides, the locality-sensitive-hash (LSH) is leveraged to realize utility- and privacy-aware service selection. Eventually, comparative experiments are implemented to verify the effectiveness of SOME.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2020.3034197
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2021, IEEE.
• Authors:
  • Xu, Xiaolong
  • Huang, Qihe
  • Zhu, Haibin
  • Sharma, Suraj
  • 0000-0002-9403-9373
  • Zhang, Xuyun
  • Qi, Lianyong
  • 0000-0002-3055-9900
  • Bhuiyan, Md Zakirul Alam
  • 0000-0002-9513-9990
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3720-3729
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 22
  • Issue Number: 6
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Data communications; Data privacy; Real time information; Software; Traffic engineering; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Security and Emergencies;

Filing Info

• Accession Number: 01788768
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 18 2021 12:12PM