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Misbehavior Detection for Position Falsification Attacks in VANETs Using Machine Learning

Ercan, Secil, Ayaida, Marwane, Messai, Nadhir·2022·IEEE Access
DOI 10.1109/access.2021.3136706
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FIGURE 1 Classification of detection schemes.
FIGURE 1 Classification of detection schemes.CC-BY · From the PDF
FIGURE 2 IDS classification based on the decision mechanism.
FIGURE 2 IDS classification based on the decision mechanism.CC-BY · From the PDF
FIGURE 3 Angle of Arrival and Distance between sender-receiver.
FIGURE 3 Angle of Arrival and Distance between sender-receiver.CC-BY · From the PDF
FIGURE 4 Estimated and declared distance.
FIGURE 4 Estimated and declared distance.CC-BY · From the PDF
Image 5
CC-BY · From the PDF
Image 6
CC-BY · From the PDF
FIGURE 7 Stacking procedure in our case.
FIGURE 7 Stacking procedure in our case.CC-BY · From the PDF
FIGURE 8 Flow of the simulation.
FIGURE 8 Flow of the simulation.CC-BY · From the PDF
TABLE 9. The average performances of the proposed mechanism using the 5 th feature combination and improvements comparing with [44].
TABLE 9. The average performances of the proposed mechanism using the 5 th feature combination and improvements comparing with [44].CC-BY · From the PDF
FIGURE 10 Comparison of detection methods for Attack ID 2.
FIGURE 10 Comparison of detection methods for Attack ID 2.CC-BY · From the PDF
FIGURE 11 Comparison of detection methods for Attack ID 4.
FIGURE 11 Comparison of detection methods for Attack ID 4.CC-BY · From the PDF
FIGURE 12 Comparison of detection methods for Attack ID 8.
FIGURE 12 Comparison of detection methods for Attack ID 8.CC-BY · From the PDF
FIGURE 13 Comparison of detection methods for Attack ID 16.
FIGURE 13 Comparison of detection methods for Attack ID 16.CC-BY · From the PDF
FIGURE 14 Proposed IDS for different traffic densities.
FIGURE 14 Proposed IDS for different traffic densities.CC-BY · From the PDF
Image 15
CC-BY · From the PDF
Image 16
CC-BY · From the PDF
Image 17
CC-BY · From the PDF

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Research works printed but not linked: 49

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Metadata

Authors
Ercan, S., Ayaida, M., & Messai, N.
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2022
Volume
10
Pages
1893-1904
ISSN
2169-3536
DOI
10.1109/access.2021.3136706
Cited by
109
References
0
Licence
creativecommons.org/licenses/by/4.0/legalcode (vor)
Funders
  • C-Roads France
  • European Commission from the CINEA Agency within the 2015 CEF Transport Programme. The statements made herein are solely the responsibility of the authors (2015-FRTM-0378-S)

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CoChat. (2026). Citation check: Misbehavior Detection for Position Falsification Attacks in VANETs Using Machine Learning. https://app.cochat.ai/papers/10.1109/access.2021.3136706
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Ercan, S., Ayaida, M., & Messai, N. (2022). Misbehavior Detection for Position Falsification Attacks in VANETs Using Machine Learning. IEEE Access. https://doi.org/10.1109/access.2021.3136706