Cited by 281Vehicular Ad Hoc Networks (VANETs)Network Security and Intrusion DetectionSecurity and Verification in Computing

In-Vehicle Network Attacks and Countermeasures: Challenges and Future Directions

Liu, Jiajia, Zhang, Shubin, Sun, Wen, Shi, Yongpeng·2017·IEEE Network

Abstract

The emergence of in-vehicle networks, which are composed of controller area network (CAN) buses and a great number of ECUs, significantly reduces the difficulty of vehicle designing, repairing and refitting. While owing to the intrinsic vulnerabilities of in-vehicle networks and the increasingly rich interfaces to connect in-vehicle networks to the outside, adversarial attacks can be easily implemented on in-vehicle networks. Such attacks cause serious threats to automobile security and drivers' privacy. In light of this, we provide in this article a detailed guidance, explain the basic concepts, introduce the vulnerabilities of in-vehicle networks, and summarize the attacking methodologies. We also provide countermeasures for in-vehicle networks and point out challenges and future directions.

Integrity signals

Registry

Crossref · 10.1109/mnet.2017.1600257

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Liu, J., Zhang, S., Sun, W., & Shi, Y.
Affiliations
Xidian University (CN)
Venue
IEEE Network
Published
2017
Volume
31
Issue
5
Pages
50-58
ISSN
0890-8044 (ISSN-L)
OpenAlex
W2759891682
Cited by
281
References
0
Citations by year
2026: 16 · 2025: 37 · 2024: 42 · 2023: 34 · 2022: 37 · 2021: 44 · 2020: 35 · 2019: 16 · 2018: 20
FWCI
8.07
Type
journal article
Language
en
Open access
closed
Locations
IEEE Network (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
Keywords
in-vehicle networks, automotive cybersecurity, CAN bus, electronic control units, network vulnerability, adversarial attacks, countermeasures, driver privacy, connected vehicles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review