Game theoretic approaches for design of information centric networks (ICN) and spectrum sharing
Creators: name: Hajimirsadeghi, Seyedmohammad
Publisher: name: No Publisher Supplied
Year: 2018

description: Future Internet designs call for increased security, performance reliability, social contentdistribution, mobility and distributed scalable resource allocation. The overarching goalof the research presented in this thesis is to use game theoretical approaches for thedesign of new networking paradigms for the future Internet in order to have betterperformance with respect to content distribution, security and resource management.The rst part of the thesis studies information-centric networking (ICN) which is anew communication paradigm for future networks that replace the xed-host/servermodel which has dominated today's Internet. ICN leverages in-network caching, multipartycommunication through replication, and interaction models decoupling sendersand receivers. We develop an analytical framework for distribution of popular contentin an ICN that comprises of Access ICNs, Transit ICNs and Content Providers. Usinga generalized Zipf distribution to model content popularity, we devise a game theoreticapproach to jointly determine caching and pricing strategies in such an ICN. Since the goal is to provide a network infrastructure that is better suited to contentdistribution and more resilient to disruptions and security attacks, the second partfocuses on the security of content based networks and takes advantage of a classicalproblem in game theory called the Colonel Blotto game (CBG){a multidimensional strategic resource allocation game to study the defense strategies against AdvancedPersistent Threat (APT) which applies multiple sophisticated methods to steal datafrom the target system. We model the interaction between an APT attacker and a cloudsystem defender in their allocation of the Central Processing Units (CPUs) over multiplestorage devices using Colonel Blotto Game, which considers the competition of twoplayers under given resource constraints over multiple battleelds. The Nash equilibria(NEs) of the CBG-based APT defense game are derived for the case of symmetric andasymmetric players with a dierent total number of CPUs to evaluate how the limitedCPU resources, the size of storage devices and the number of storage devices impactthe expected data protection level of the cloud storage system. The increasing number of mobile users and services show the importance of edgewireless networks for connectivity and data transmission in future Internet. So, anothermajor challenge for designing the future Internet are Radio Resource Management(RRM) and the task of allocating the scarce resources such as bandwidth in edgewireless networks. The static traditional approaches limit the usage and result in poorutilization and many spectrum holes. To overcome this problem and motivated bymany real-world examples such as communication of mobile devices, localized Internetof Things (IoT) devices, or even autonomous vehicles, and aiming to capture theinfluence of spectral allocation in a competitive environment on the performance ofcommunication devices, the third part of this thesis is devoted to study the problem ofdynamic competitive spectrum allocation. We study the scenario of two network serviceproviders (NSPs) which are trying to provide service for their regional users throughspectrum bidding. We show that the dynamic process of competitive spectrum allocationcan be described as a two-level game in which the upper level is modeled asan optimal control problem and the lower level is modeled using CBG. We adopt adynamic non-cooperative repeated game as the decentralized approach for the NSPs todetermine their optimal strategies for the next time slot. We also provide the optimal strategy and value function of the dynamic game using Dynamic Programming (DP).