Hybrid communication systems, where millimeter-wave (mmWave) links coexist with microwave links, have been an essential component in the fifth-generation (5G) wireless networks. Nevertheless, open feature of medium makes hybrid systems vulnerable to eavesdropping attacks. Eavesdroppers can enhance their attack performance by opportunistically on mmWave or links. This paper, therefore, aims answ...

By definition, objects that are skyline points cannot be compared with each other. Yet, thanks to the probabilistic skyline model, skyline points with repeated observations can now be compared. In this model, each object will be assigned a value to denote for its probability of being a skyline point. When we are using this model, some questions will naturally be asked: (1) Which of the objects ...

Cross impact analysis (CIA) consists of a set of related methodologies that predict the occurrence probability of a specific event and that also predict the conditional probability of a first event given a second event. The conditional probability can be interpreted as the impact of the second event on the first. Most of the CIA methodologies are qualitative that means the occurrence and condit...

This paper presents axioms for systems of conditional preferences and provides representation results for these systems. It reports on a new way of representing a system of conditional preferences, by means of a system of conditional lexicographic probabilities (SCLP) (cf. Asheim and Perea, Games and Economic Behavior, forthcoming). An SCLP ensures well-defined conditional beliefs representing ...

The classic all-terminal network reliability problem posits a graph, each of whose edges fails independently with some given probability. The goal is to determine the probability that the network becomes disconnected due to edge failures. This problem has obvious applications in the design of communication networks. Since the problem is ♯P-complete, and thus believed hard to solve exactly, a gr...

This paper proposes a software reliability model that is purely based on software structure and software test results. The flow network in graph theory is used to model the software structure by nodes and edges. The edges’ failure probabilities are determined by the software test results. Based on the edges’ failure probabilities and the flow network model, a method is proposed to calculate the...

This paper analyzes a controllable discrete-time machine repair problem withL operating machines and two repairmen. The number of working servers can be adjusteddepending on the number of failed machines in the system one at a time at machine's failure orat service completion epochs. Analytical closed-form solutions of the stationary probabilities ofthe number of failed machines in the system a...

Power distribution networks are recognized as the constituent part of power systems with the highest concentration of failure events. Even though the faults in distribution networks have a local effect when compared to the generation and transmission sides, major contingency escalation events are being more frequently reported from this section. The various aspects regarding the reliability and...

This paper presents new results on the complexity of graph-theoretical models that represent probabilities (Bayesian networks) and that represent interval and set valued probabilities (credal networks). We define a new class of networks with bounded width, and introduce a new decision problem for Bayesian networks, the maximin a posteriori. We present new links between the Bayesian and credal n...

Dependence structures between the failure time and the cause of failure are expressed in terms of the monotonicity properties of the conditional probabilities involving the cause of failure and the failure time. Further, these properties of the conditional probabilities are used for testing various dependence structures and several U-statistics are proposed. In the process, a concept of concord...