Research Article
SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles
@INPROCEEDINGS{10.1007/978-3-030-98002-3_25, author={Messaoud Babaghayou and Nabila Labraoui and Ado Adamou Abba Ari and Nasreddine Lagraa and Mohamed Amine Ferrag and Leandros Maglaras}, title={SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles}, proceedings={Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings}, proceedings_a={CROWNCOM \& WICON}, year={2022}, month={3}, keywords={Location monitoring Position detection RSSI Triangulation Location privacy Malicious attacks UAV attacks GPS-spoofing Data falsification IoV VANETs}, doi={10.1007/978-3-030-98002-3_25} }- Messaoud Babaghayou
Nabila Labraoui
Ado Adamou Abba Ari
Nasreddine Lagraa
Mohamed Amine Ferrag
Leandros Maglaras
Year: 2022
SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles
CROWNCOM & WICON
Springer
DOI: 10.1007/978-3-030-98002-3_25
Abstract
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.
