Game theory-based attack and defense analysis in virtual wireless networks with jammers and eavesdroppers

With the rapid development and widespread applications of Internet of Things (IoT) systems, the corresponding security issues are getting more and more serious. This paper proposes a multistage asymmetric information attack and defense model (MAIAD) for IoT systems. Under the premise of asymmetric information, MAIAD extends the single-stage game model with dynamic and evolutionary game theory. By quantifying the benefits for both the attack and defense, MAIAD can determine the optimal defense strategy for IoT systems. Simulation results show that the model can select the optimal security defense strategy for various IoT systems.

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Dynamic Network Service Selection in IRS-assisted Wireless Networks: A Game Theory Approach

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3072643 ◽

2021 ◽

pp. 1-1

Author(s):

Nguyen Cong Luong ◽

Thi Thanh Van Nguyen ◽

Shaohan Feng ◽

Huy T. Nguyen ◽

Tao Dusit Niyato ◽

...

Keyword(s):

Game Theory ◽

Wireless Networks ◽

Dynamic Network ◽

Service Selection ◽

Theory Approach ◽

Network Service

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Game Theory for Resource Allocation in Wireless Networks

Advances in Wireless Technologies and Telecommunication - Emerging Technologies in Wireless Ad-hoc Networks ◽

10.4018/978-1-60960-027-3.ch016 ◽

2011 ◽

pp. 335-352 ◽

Cited By ~ 2

Author(s):

Danda B. Rawat ◽

Chandra Bajracharya ◽

Gongjun Yan

Keyword(s):

Game Theory ◽

Resource Allocation ◽

Wireless Networks ◽

Dynamic Spectrum Access ◽

Optimal Allocation ◽

Optimization Technique ◽

Dynamic Spectrum ◽

Spectrum Access ◽

Wireless Technologies ◽

Service Areas

Wireless technologies and devices are becoming increasingly ubiquitous in modern society. Wireless resources are natural and fixed, whereas wireless technologies and devices are increasing day-by-day, resulting in spectrum scarcity. As a consequence, efficient use of limited wireless resources has become an issue of vital importance in wireless systems. As demand increases, management of limited wireless resources for optimal allocation becomes crucial. Optimal allocation of limited wireless resources results in quick and reliable dissemination of information to larger service areas. Recently, game theory has emerged as an efficient tool to help optimally allocate wireless resources. Game theory is an optimization technique based on strategic situations and decision-making, and has found its application in numerous fields. The first part of this chapter presents a review of game theory and its application in resource allocation at different layers of the protocol stack of the network model. As shown by a recent study, static assignment of frequency spectrum by governmental bodies, such as FCC (Federal Communications Commission) in the United States, is inefficient since the licensed systems do not always fully utilize their frequency bands. In such a scenario, unlicensed secondary (cognitive radio) users can identify the idle spectrum bands and use them opportunistically. In order to access the licensed spectrum dynamically and opportunistically, the dynamic spectrum access functionality needs to be incorporated in the next generation (XG) wireless networks. Different game theory approaches for dynamic spectrum access are discussed in the second part of the chapter.

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Two-Stage Non-Cooperative Game Model for Vertical Handoffs in Heterogeneous Wireless Networks

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-7998-2764-1.ch005 ◽

2021 ◽

pp. 90-114

Author(s):

Pramod Kumar Goyal ◽

Pawan Singh

Keyword(s):

Game Theory ◽

Wireless Networks ◽

Cooperative Game ◽

Heterogeneous Wireless Networks ◽

Substantial Reduction ◽

Game Model ◽

Two Stage ◽

Vertical Handoffs ◽

Cooperative Game Model ◽

Selection Of

In a heterogeneous wireless network (HWN) environment, performing an efficient vertical handoff requires the efficient qualitative evaluation of all stakeholders like wireless networks (WN) and mobile users (MU) and mutual selection of best WN-MU. In the literature, most of the work deals with both these requirements jointly in the techniques proposed by them for the vertical handoffs (VHO) in HWNs, leaving very little scope to manipulate the above requirements independently. This may result in inefficient vertical handoffs. Hence, this chapter proposed a generalized two-stage two players, iterative non-cooperative game model. This model presents a modular framework that separates the quantitative evaluation of WNs and MUs (at Stage 1) from the game formulation and solution (at Stage 2) for mutual selection of best WN-MU pair for VHO. The simulation results show a substantial reduction in the number of vertical handoffs with the proposed game theory-based two-stage model as compared to a single-stage non-game theory method like multiple attribute decision making.

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Enhanced QoS through Cooperating Schemes in Next Generation Wireless Networks

Wireless Technologies ◽

10.4018/978-1-61350-101-6.ch205 ◽

2012 ◽

pp. 311-337

Author(s):

Dimitris E. Charilas ◽

Athanasios D. Panagopoulos ◽

Philip Constantinou

Keyword(s):

Game Theory ◽

Wireless Networks ◽

New Technologies ◽

Critical Issue ◽

Next Generation ◽

Next Generation Wireless Networks ◽

Distribution Of Resources ◽

Decision Making Processes ◽

Selection Mechanisms

This chapter addresses the critical issue of Quality of Service (QoS) provisioning in next generation wireless networks. While the QoS offered to users may be enhanced through innovative protocols and new technologies, future trends should take into account the efficiency of the resource allocation strategies and the network/terminal cooperation as well. 4G networks will be characterized by an heterogeneous environment where several access networks will be available. The purpose of this chapter is to summarize techniques that enable efficient distribution of resources exploiting the existing infrastructure. Such techniques may involve either smart selection mechanisms or cooperating schemes among network entities. Since decision-making processes are examined, the use of game theory is considered as a valuable asset in the authors’ work. To this end, the chapter also collects applications of both non-cooperative and cooperative game theory applications in wireless networks. The main aspects of both game types are presented and several games are modeled.

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Game Theory for PHY Layer and MAC Sublayer in Wireless Telecommunications

Handbook of Research on Telecommunications Planning and Management for Business - Advances in E-Business Research ◽

10.4018/978-1-60566-194-0.ch051 ◽

2010 ◽

pp. 804-819

Author(s):

J. Joaquín Escudero-Garzás ◽

Ana García-Armada

Keyword(s):

Game Theory ◽

Wireless Networks ◽

Applied Mathematics ◽

Complex Problems ◽

Game Player ◽

Wireless Telecommunications ◽

Wireless Environments ◽

Phy Layer ◽

Novel Concept

The aim of this chapter is to address the role of a novel concept in wireless telecommunications: Game theory. Game theory is a branch of applied mathematics, which has recently drawn attention as a powerful tool to solve complex problems in wireless environments. To fulfil the intended goal, this chapter introduces the most relevant concepts of game theory such as game, player, and strategy, and give an overview of the applications of game theory in wireless networks.

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