This paper presents a novel authentication method based on a distributed version of Kerberos for UAVs. One of the major problems of UAVs in recent years has been cyber-attacks which allow attackers to control the UAV or access its information. The growing use of UAVs has encouraged us to investigate the methods of their protection especially authentication of their users. In the past, the Kerberos system was rarely used for authentication in UAV systems. In our proposed method, based on a distributed version of Kerberos, we can authenticate multiple ground stations, users, and controllers for one or more UAVs. This method considers most of the security aspects to protect UAV systems mainly in the authentication phase and improves the security of UAVs and ground control stations and their communications considerably.
We introduce and solve two different additive-additive (α, β)−fuzzy functional inequalities. In addition, we investigate derivations and homomorphisms on matrix valued FB-algebras and unital matrix valued FC-⋄-algebras, associated to the additive-additive (α, β)−fuzzy functional inequalities. Finally, as an application, we introduce new fuzzy control functions.
This paper introduces a graph built on a residual lattice called the L graph. It determines the notion of the strong L-graph. It introduces new concepts, such as direct sum and direct product of two L-graphs. The L-graphs have many applications. For instance, they help determine the minimum number of hospitals equipped with all the treatment wards needed. Accordingly, some related theorems have been proven and several examples have been provided to illustrate these new concepts.
In this paper, we propose a method for solving fuzzy bilevel linear programming problem (BLPP) that all parameters are triangular fuzzy numbers (TFNs). First, we transform fuzzy BLPP to interval BLPP. In the next step, we present an algorithm that by using it, the solution of fuzzy BLPP is obtained as TFN.
Assuming that CX,Y is the copula function of X and Y with marginal distribution functions FX(x) and FY (y), in this work we study the selection distribution $Z\mathop = \limits^{\text{d}} \left( {X\mid Y > {\mu _y}} \right)$. We present some special cases of our proposed distribution, among them, skew-t distribution. The simulation results showed that the distribution presented in this paper works better according to the measurement criteria.
