Research Output
SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles
  The quick revolution on the wireless communication technologies had opened the gate towards promising implementations; Vehicular-Ad-hoc Networks (VANETs) and the safety-enhancing applications provided by the Internet of Vehicles (IoV) paradigm are one of them. By periodically broadcasting safety-beacons, vehicles can ensure a better safety-driving experience since beacons contain fine-grained location that is sent to the neighborhood. Nevertheless, some attacks basing on falsify or encrypt location-related data are threatening the road-safety considerably. In this paper, and by assuming a GPS-spoofing attack originated from Unmanned-Aircraft-Vehicles (UAV) system, we provide a Security-Aware Monitoring Approach (SAMA) that protects vehicles against such location abusing by allowing the Law-Side Authority (LSA) to monitor the potential malicious or tricked vehicles. SAMA is Implemented using the triangulation concept via Received-Signal-Strength-Indicator (RSSI) in conjunction with C++ map and multimap data-structures. The performances of SAMA are evaluated in terms of location-estimation precision and beacons collection per type.

  • Date:

    31 March 2022

  • Publication Status:

    Published

  • Publisher

    Springer International Publishing

  • DOI:

    10.1007/978-3-030-98002-3_25

  • Cross Ref:

    10.1007/978-3-030-98002-3_25

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Babaghayou, M., Labraoui, N., Ari, A. A. A., Lagraa, N., Ferrag, M. A., & Maglaras, L. (2022). SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles. In CROWNCOM 2021, WiCON 2021: Cognitive Radio Oriented Wireless Networks and Wireless Internet (343-360). https://doi.org/10.1007/978-3-030-98002-3_25

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