Ensuring the desired level of security is an important issue in all communicating systems, and it becomes more challenging in wireless environments. Flying Ad Hoc Networks (FANETs) are an emerging type of mobile network that is built using energy-restricted devices. Hence, the communications interface used and that computation complexity are additional factors to consider when designing secure protocols for these networks. In the literature, various solutions have been proposed to ensure secure and reliable internode communications, and these FANET nodes are known as Unmanned Aerial Vehicles (UAVs). In general, these UAVs are often detected as malicious due to an unintentional misbehavior related to the physical features of the UAVs, the communication mediums, or the network interface. In this paper, we propose a new context-aware trust-based solution to distinguish between intentional and unintentional UAV misbehavior. The main goal is to minimize the generated error ratio while meeting the desired security levels. Our proposal simultaneously establishes the inter-UAV trust and estimates the current context in terms of UAV energy, mobility pattern, and enqueued packets, in order to ensure full context awareness in the overall honesty evaluation. In addition, based on computed trust and context metrics, we also propose a new inter-UAV packet delivery strategy. Simulations conducted using NS2.35 evidence the efficiency of our proposal, called UNION, at ensuring high detection ratios > 87% and high accuracy with reduced end-to-end delay, clearly outperforming previous proposals known as RPM, T-CLAIDS, and CATrust.


    Access

    Download


    Export, share and cite



    Title :

    UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication




    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Preventing vehicle accident caused by intentional misbehavior

    COSTANTINI ELISEBA / GUIDOTTI ALICE / MORGANTINI DANIELE et al. | European Patent Office | 2019

    Free access

    TriP: Misbehavior Detection for Dynamic Platoons using Trust

    Garlichs, Keno / Willecke, Alexander / Wegner, Martin et al. | IEEE | 2019




    Misbehavior protection for connected vehicle communication

    PETIT JONATHAN / ANSARI MOHAMMAD RAASHID | European Patent Office | 2023

    Free access