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Improving Privacy in IoV Using Fog Computing

Yavari, Morteza | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55448 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin
  7. Abstract:
  8. Along with the emergence of the smart city concept and the increasing demand for a wide range of vehicles, the Internet of Vehicles (IoV) has attracted a lot of attention by providing numerous benefits including vehicle accident warning, reducing pollution levels and traffic congestion, as well as entertainment services. Furthermore, IoV offers various services combining Vehicular ad hoc networks (VANETs) and IoT in smart cities. However, these types of networks are exposed to a variety of security and privacy risks due to the wireless nature, because the sensitive message is transmitted through an insecure channel in the IoV-based smart city environment, therefore, it is necessary to provide a secure message authentication protocol for ensuring various services for IoV in a smart city environment. This thesis seeks to provide a lightweight method for vehicle and message authentication, while preserving user privacy. Vehicle data transmission in the proposed method should be in such a way that there is a possibility of authentication, confidentiality and non-repudiation of the message, and at the same time protect the confidential information exchanged against any changes. The validation of the packets sent from the vehicles in the IoV environment will be investigated for this purpose in the proposed scheme using the combination of chaos theory and chord content distribution structure, also, we cancel hostile cars certification using Cuckoo filter instead of using the revoked certificate list with the lowest communication overhead. According to the results of simulation and comparison of this method with the latest presented schemes, this scheme performs better in terms of memory consumption and validation time
  9. Keywords:
  10. Safety ; Privacy ; Vehicular Ad Hoc Network (VANET) ; Fog Computing ; Vehicles Internet

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