Cited by 168Vehicular Ad Hoc Networks (VANETs)Cryptography and Data SecurityIoT and Edge/Fog Computing

Secure intelligent traffic light control using fog computing

Liu, Jian, Li, Jiangtao, Zhang, Lei, Dai, Feifei, Zhang, Yuanfei, Meng, Xinyu, Shen, Jian·2018·Future Generation Computer Systems

Integrity signals

Registry

Crossref · 10.1016/j.future.2017.02.017

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.

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Cited by

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Authors
Liu, J., Li, J., Zhang, L., Dai, F., Zhang, Y., Meng, X., & Shen, J.
Affiliations
  • Shanghai Key Laboratory of Trustworthy Computing (CN)
  • Nanjing University of Information Science and Technology (CN)
Corresponding author
Zhang, Lei
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2018-01
Volume
78
Pages
817-824
ISSN
0167-739X (ISSN-L)
OpenAlex
W2590328502
Cited by
168
References
0
Citations by year
2026: 5 · 2025: 7 · 2024: 12 · 2023: 19 · 2022: 22 · 2021: 23 · 2020: 23 · 2019: 31 · 2018: 17 · 2017: 9
FWCI
9.10
Type
journal article
Language
en
Open access
closed
Locations
Future Generation Computer Systems (publishedVersion)
Funders
  • NSF of China (61572198, 61632012)
  • PAPD
  • CICAEET
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
intelligent traffic signal control, fog computing, VANET security, denial-of-service attacks, single point of failure, vehicle authentication, intelligent transportation systems, traffic density

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 ›

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