MBID: Micro-Blockchain-Based Geographical Dynamic Intrusion Detection for V2X

Haoran Liang, Jun Wu*, Shahid Mumtaz, Jianhua Li, Xi Lin, Miaowen Wen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)

Abstract

Vehicle-to-everything (V2X) aims to make transportation system more intelligent through linking everything with the moving vehicles, but it brings geographical dynamic intrusions. However, existing intrusion detection systems (IDSs) of vehicles just deploy the preset statics strategies. As a novel security technology, blockchain can realize decentralized tamper-resistance. However, it has not been used for IDSs because of its rigid structure. In this article, we propose Micro-Blockchain based geographical dynamic Intrusion Detection, MBID, for V2X. A novel nested micro-blockchain structure is proposed, where each micro-blockchain deployed in a small region can construct local intrusion detection strategies for vehicles with tamper-resistance. When a vehicle moves to another region, spatial-temporal dynamic IDSs strategies are constructed through the proposed repeatedly nested scheme for micro-blockchains. Moreover, the control plane is proposed to dynamically configure IDSs strategies into the micro-blockchain. Simulation results show the accuracy of MBID.

Original languageEnglish
Article number8875719
Pages (from-to)77-83
Number of pages7
JournalIEEE Communications Magazine
Volume57
Issue number10
DOIs
Publication statusPublished - 2019 Oct
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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