List of Titles

A policy-based solution for the detection of colluding GPS-Spoofing attacks in FANETs

- Bada, Mousaab, Boubiche, Djallel, Lagraa, Nasreddine, Kerrache, Chaker, Imran, Muhammad, Shoaib, Muhammad

Authors: Bada, Mousaab , Boubiche, Djallel , Lagraa, Nasreddine , Kerrache, Chaker , Imran, Muhammad , Shoaib, Muhammad
Date: 2021
Type: Text , Journal article
Relation: Transportation Research Part A: Policy and Practice Vol. 149, no. (2021), p. 300-318
Full Text: false
Reviewed:
Description: Most of Flying Adhoc Networks (FANETs) applications consume GPS based location information for their services, which are also shared in real-time with other UAVs, ground control stations and centralized service operators. GPS spoofing is among the most popular attacks in FANETs that lead the Global Navigation Satellite System (GNSS) receivers to generate false navigation solutions. Several anti-spoofing techniques have been proposed in the literature. However, Conventional detection methods present vulnerabilities against Colluding GPS Spoofing Attack where multiple GPS spoofing signal sources are used. In this paper, we propose a policy-based distributed detection mechanism to face colluding GPS-Spoofing attack in FANETs. Based on Burglary scene and the location of each UAV at the time of the attack, we can distinguish between Active and Passive witnesses that are respectively used to help the target to detect and confirm the presence of GPS spoofing signal using respectively Absolute power and Carrier-to-Noise density ratio. A trust model based on Beta and Weibull Distribution has been adopted as a combination technique of different testimonies to both mitigate the spread of false rumors and classify the different signals. Simulation results depict that our proposal is able to detect and revoke the GPS Spoofing signal with high accuracy reaching the 99% and low communication overhead. © 2021 Elsevier Ltd

A cooperative crowdsensing system based on flying and ground vehicles to control respiratory viral disease outbreaks

- Sahraoui, Yesin, Kerrache, Chaker, Amadeo, Marica, Vegni, Anna, Korichi, Ahmed, Nebhen, Jamel, Imran, Muhammad

Authors: Sahraoui, Yesin , Kerrache, Chaker , Amadeo, Marica , Vegni, Anna , Korichi, Ahmed , Nebhen, Jamel , Imran, Muhammad
Date: 2022
Type: Text , Journal article
Relation: Ad Hoc Networks Vol. 124, no. (2022), p.
Full Text: false
Reviewed:
Description: The massive increase in population density in cities has led to several urban problems, such as an increment of air pollution, traffic congestion, and a faster spread of infectious diseases. With the rapid innovation in the intelligent sensors technology, and its integration into smart vehicles and Unmanned Aerial Vehicles (UAVs), a novel sensing paradigm has been promoted, namely vehicular crowdsensing, which leverages on-board sensors to capture information from the surrounding environment. Collected data are then analyzed to take proper countermeasures. In this paper, we present a smart coordination mechanism between UAVs and ground vehicles (GVs), which sense information like body temperature and breathing rate of people, in order to support a variety of monitoring applications, including discovering the presence of infectious diseases. In our framework, namely GUAVA, aerial and ground vehicles are equipped with GPS devices and thermal cameras to monitor specific geographic areas, detect humans’ vital parameters and, at the same time, discover duplicate data by identifying matching faces in thermal video sequences with the GaussianFace algorithm. The sensing tasks in hard-to-reach places are assigned to UAVs, with the ability to power up wirelessly from the nearest GV and offload the collected monitoring images to it. Simulation results have assessed our proposed framework, showing good performance in terms of distinct Quality of Service (QoS) metrics. © 2021

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