- Title
- Privacy and Security of Connected Vehicles in Intelligent Transportation System
- Creator
- Jolfaei, Alireza; Kant, Krishna
- Date
- 2019
- Type
- Text; Conference proceedings; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/170950
- Identifier
- vital:14230
- Identifier
- 10.1109/DSN-S.2019.00010
- Identifier
- ISBN:9781728130286 (ISBN)
- Abstract
- The paper considers data security and privacy issues in intelligent transportation systems which involve data streams coming out from individual vehicles to road side units. In this environment, there are issues in regards to the scalability of key management and computation limitations at the edge of the network. To address these issues, we suggest the formation of groups in the vehicular layer, where a group leader is assigned to communicate with group members and the road side unit. We propose a lightweight permutation mechanism for preserving the confidentiality and privacy of sensory data. © 2019 IEEE.; E1
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019, Portland, United States; 24-27 June 2019. p. 9-10
- Rights
- Copyright © 2019 IEEE
- Rights
- This metadata is freely available under a CCO license
- Subject
- Data Security; Intelligent Transportation; Permutation; Privacy; Scalability
- Full Text
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