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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

A Novel Distributed Intrusion Detection System for Vehicular Ad Hoc Networks

Author 1: Leandros A. Maglaras
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 4 · Published 2015 · Cited by 55

DOI: 10.14569/IJACSA.2015.060414

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Abstract

In the new interconnected world, we need to secure vehicular cyber-physical systems (VCPS) using sophisticated intrusion detection systems. In this article, we present a novel distributed intrusion detection system (DIDS) designed for a vehicular ad hoc network (VANET). By combining static and dynamic detection agents, that can be mounted on central vehicles, and a control center where the alarms about possible attacks on the system are communicated, the proposed DIDS can be used in both urban and highway environments for real time anomaly detection with good accuracy and response time.

Keywords

VANET Intrusion Detection OCSVM

How to Cite this Article

Maglaras, L. A. (2015). A Novel Distributed Intrusion Detection System for Vehicular Ad Hoc Networks. International Journal of Advanced Computer Science and Applications, 6(4). https://doi.org/10.14569/IJACSA.2015.060414

Maglaras, Leandros A.. "A Novel Distributed Intrusion Detection System for Vehicular Ad Hoc Networks." International Journal of Advanced Computer Science and Applications, vol. 6, no. 4, 2015, https://doi.org/10.14569/IJACSA.2015.060414.

@article{Maglaras2015,
  title     = {A Novel Distributed Intrusion Detection System for Vehicular Ad Hoc Networks},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {4},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Leandros A. Maglaras},
  doi       = {10.14569/IJACSA.2015.060414},
  url       = {https://doi.org/10.14569/IJACSA.2015.060414}
}

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Volume 17 No. 11, November 2026
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