Adaptive Dynamic Average Consensus Scheme With Preserving Privacy and Against False Data Injection Attacks: Dynamic Event-Triggered Mechanism

It is a critical issue for achieving dynamic average consensus (DAC) in the presence of privacy eavesdroppers and false data injection (FDI) attacks, and this scenario is applicable to intelligent transportation systems. A dynamic event-triggered privacy preserving DAC (DET-PPDAC) control scheme is proposed. Firstly, in a privacy-sensitive scene, different time-varying terms are added to communication states by hiding real information from eavesdroppers. An observer and a compensator are designed to construct a control scheme for compensating for the impact of FDI attacks over a channel between a control signal and an actuator. Adaptive auxiliary variables are introduced for compensating for residual errors owing to asymmetric encryption/decryption functions. Dynamic event-triggered conditions are constructed to reduce the number of data as well as the risk of leakage by eavesdroppers, and continuous monitor from neighbors is removed. The authors' DET-PPDAC control scheme can also be applied to a directed graph. Stability analysis shows that the control scheme finally achieves DAC with bounded errors and Zeno-free behaviors while satisfying the requirement of privacy preservation. Simulation examples with formation of vehicles are given to demonstrate the effectiveness of the proposed control scheme.

• Record URL:
  • https://doi.org/10.1109/TVT.2024.3361179
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2024, IEEE.
• Authors:
  • Yang, Yang
  • Li, Jinwei
  • Wang, Xue
  • Ding, Fei
  • Dou, Chunxia
  • 0000-0002-8714-655X
  • Kuzin, Victor
• Publication Date: 2024-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 7826-7837
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 73
  • Issue Number: 6
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Computer security; Data privacy; Intelligent transportation systems; Motor vehicles
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01928690
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 26 2024 11:19AM