Abstract. UAV Ad hoc NETwork (UAANET) is a subset of the wellknown Mobile Ad-hoc NETworks (MANETs). It consists of forming an ad hoc network with multiple small Unmanned Aerial Vehicles (UAVs) and the Ground Control Station (GCS). Similar to MANETs, the UAANET communication architecture is infrastructure-less and self-configuring network of several nodes forwarding data packets. However, it also has some specific features that brings challenges on network connectivity. Consequently, an adapted routing protocol is needed to exchange data packets within UAANETs. In this paper, we introduce a new hybrid experimental system that can evaluate different types of adhoc routing protocols under a realistic UAANET scenario. It is based on virtual machines and the Virtualmesh [1] framework to emulate physical aspects. We evaluated AODV, DSR and OLSR efficiency in a realistic scenario with three UAVs scanning an area. Our results show that AODV outperformed OLSR and DSR.
UAV Ad hoc Network (UAANET) is a wireless ad hoc network composed of Unmanned Aerial Vehicles (UAVs) and Ground Control Station (GCS). Compared to the standard Mobile Ad hoc NETworks (MANETs), the UAANET architecture has some specific features that brings exciting challenges to communication architecture design. One of them is the design challenge of a UAANET routing protocols. It must find an accurate and reliable route between nodes in a timely manner to exchange data traffics. It must also be secured to preserve efficiency in the presence of malicious attackers and provides data integrity and authentication. Furthermore, UAANETs must be certified in the near future to act as autonomous systems without a dedicated safety pilot and to be authorized to fly in the national airspace. In such a context, in this paper, we contribute to the certification of the secure UAANET communication system software using a Model-Driven Development (MDD) approach and real experiments based validation. The validation process followed uses sequentially formal verification methods and real-world experimental results. The objective is to evaluate the routing protocol efficiency to a set of unexpected hazardous issues that come with the real environment.
UAV Ad hoc Network (UAANET) is a wireless ad hoc network composed of Unmanned Aerial Vehicles (UAVs) and Ground Control Station (GCS). It requires an efficient and secure routing protocols to find accurate and secure route between nodes to exchange data traffics. There have been several secure routing proposals to ensure data authentication and integrity services of ad hoc routing protocols. However, most of them are vulnerable against wormhole attacks and therefore cannot be used for UAANET directly without amendment. The wormhole attack involves two attackers who perform a colluding attack.In this paper, we present a new UAANET secure routing protocol called SUAP (Secure Uav Ad hoc routing Protocol). It ensures message authentication and provides detection and prevention of wormhole attacks. SUAP is a reactive protocol using public key cryptography, hash chains and geographical leashes. We have carried out a formal verification analysis of SUAP security properties using the AVISPA tool, an automated model checker for the analysis of security features. We have also validated our security proposal through formal model checking using Simulink and Stateflow tools. Additionally, we use a hybrid experimental system (based on virtual machines and a virtual mesh framework) under a realistic UAANET scenario to evaluate SUAP routing performances and validate its security properties.Index Terms-UAV Ad hoc NETwork, Security Architecture, AVISPA, Model Driven Development, Routing Protocol.
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