Biblio

In this paper, we propose a multidimensional trust model for vehicular networks. Our model evaluates the trustworthiness of each vehicle using two main modes: 1) Direct Trust Computation DTC related to a direct connection between source and target nodes, 2) Indirect Trust Computation ITC related to indirectly communication between source and target nodes. The principal characteristics of this model are flexibility and high fault tolerance, thanks to an automatic trust scores assessment. In our extensive simulations, we use Total Cost Rate to affirm the performance of the proposed trust model.

The next generation military environment requires a delay-tolerant network for sharing data and resources using an interoperable computerized, Command, Control, Communications, Intelligence, Surveillance and Reconnaissance (C4ISR) infrastructure. In this paper, we propose a new distributed SDN (Software-Defined Networks) architecture for tactical environments based on distributed cloudlets. The objective is to reduce the end-to-end delay of tactical traffic flow, and improve management capabilities, allowing flexible control and network resource allocation. The proposed SDN architecture is implemented over three layers: decentralized cloudlets layer where each cloudlet has its SDRN (Software-Defined Radio Networking) controller, decentralized MEC (Mobile Edge Computing) layer with an SDN controller for each MEC, and a centralized private cloud as a trusted third-part authority controlled by a centralized SDN controller. The experimental validations are done via relevant and realistic tactical scenarios based on strategic traffics loads, i.e., Tactical SMS (Short Message Service), UVs (Unmanned Vehicle) patrol deployment and high bite rate ISR (Intelligence, Surveillance, and Reconnaissance) video.