Abstract
Information dissemination has become one of the most important services of communication networks. Modeling the diffusion of information through such networks is crucial for our modern information societies. In this work, novel models, segregating between useful and malicious types of information, are introduced, in order to better study Information Dissemination Dynamics (IDD) in wireless complex communication networks, and eventually allow taking into account special network features in IDD. According to the proposed models, and inspired from epidemiology, we investigate the IDD in various complex network types through the use of the Susceptible-Infected (SI) paradigm for useful information dissemination and the Susceptible-Infected-Susceptible (SIS) paradigm for malicious information spreading. We provide analysis and simulation results for both types of diffused information, in order to identify performance and robustness potentials for each dissemination process with respect to the characteristics of the underlying complex networking infrastructures. We demonstrate that the proposed approach can generically characterize IDD in wireless complex networks and reveal salient features of dissemination dynamics in each network type, which could eventually aid in the design of more advanced, robust, and efficient networks and services.
Highlights
Information dissemination is a key social process in modern information-centric societies, and most of the communication infrastructures have been developed in the last thirty years mainly to allow transferring diverse types of information
We demonstrate that the proposed approach can generically characterize information dissemination dynamics (IDD) in wireless complex networks and reveal salient features of dissemination dynamics in each network type, which could eventually aid in the design of more advanced, robust, and efficient networks and services
We introduced novel epidemic-based models for modeling and understanding information dissemination dynamics (IDD) in wireless complex networks
Summary
Information dissemination is a key social process in modern information-centric societies, and most of the communication infrastructures have been developed in the last thirty years mainly to allow transferring diverse types of information. Sources of malicious information manage to devise new ways of spreading such data, for example, through emails, viruses, and trapped websites, so that malicious content is characterized by recurrent behavior, which costs time and money The latter holds for indifferent types of information, such as spam email. Randomized approaches based on both stochastic processes and epidemic models are those characterized as epidemic routing [14,15,16] All such works mainly focus on specific types of information and network topology. We propose and analyze two specific approaches for obtaining analytically the behavior of each case and demonstrate how they can be used in order to identify the parameters and properties of the underlying wireless complex communication networks that govern IDD.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
