Game Theoretic Modeling of Cyber Deception against Epidemic Botnets in Internet of Things

2021 ◽  
pp. 1-1
Author(s):  
Olivier Tsemogne ◽  
Yezekael Hayel ◽  
Charles Kamhoua ◽  
Gabriel Deugoue
Keyword(s):  
Internet Of Things ◽  
Game Theoretic

scholarly journals Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6761
Author(s):  
Anjan Bandyopadhyay ◽  
Vikash Kumar Singh ◽  
Sajal Mukhopadhyay ◽  
Ujjwal Rai ◽  
Fatos Xhafa ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Mechanism Design ◽  
Service Providers ◽  
The Internet ◽  
Preference Ordering ◽  
Cloud Architecture ◽  
Game Theoretic ◽  
Design Perspective ◽  
Iot Devices ◽  
The Internet Of Things

In the Internet of Things (IoT) + Fog + Cloud architecture, with the unprecedented growth of IoT devices, one of the challenging issues that needs to be tackled is to allocate Fog service providers (FSPs) to IoT devices, especially in a game-theoretic environment. Here, the issue of allocation of FSPs to the IoT devices is sifted with game-theoretic idea so that utility maximizing agents may be benign. In this scenario, we have multiple IoT devices and multiple FSPs, and the IoT devices give preference ordering over the subset of FSPs. Given such a scenario, the goal is to allocate at most one FSP to each of the IoT devices. We propose mechanisms based on the theory of mechanism design without money to allocate FSPs to the IoT devices. The proposed mechanisms have been designed in a flexible manner to address the long and short duration access of the FSPs to the IoT devices. For analytical results, we have proved the economic robustness, and probabilistic analyses have been carried out for allocation of IoT devices to the FSPs. In simulation, mechanism efficiency is laid out under different scenarios with an implementation in Python.

scholarly journals The Economics of Internet of Things: An Information Market System

2021 ◽  
Vol 11 (1) ◽  
pp. 35-40
Author(s):  
Siddhartha Vadlamudi ◽  
Keyword(s):  
Internet Of Things ◽  
Price Competition ◽  
Smart Cities ◽  
Information Economics ◽  
The Internet ◽  
Theoretic Model ◽  
Information Market ◽  
Full Capacity ◽  
Game Theoretic ◽  
The Internet Of Things

The Internet of Things (IoT) is one of the leading forces in modern-day technology. The concept has been proposed to be a new way of interconnecting a multiplicity of devices and rendering services to a variety of applications. According to the industry’s insiders, IoT will make it possible to link transport, energy, smart cities, and healthcare together. The purpose of this paper is to understand the economics of the Internet of Things. It is meant to shed light on how world IoT applications can affect the information market. When every sector and industry of the world has been connected via this technology, what will become of the ICT niche? The information economic approach is currently being adopted and presented with its possible applications in IoT. Firstly, this paper reviews the kinds of economic models that have been designed for IoT services. Secondly, it focuses on the two major subject matters of information economics that are critical to IoT. While one considers the value of the information itself, the other addresses information with good pricing. Lastly, the paper proposes a game-theoretic model to examine the price competition of IoT-based services. We take a look at how these two sectors will fare against each, both at full capacity.

scholarly journals Rational Protocols and Attacks in Blockchain System

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tao Li ◽  
Yuling Chen ◽  
Yanli Wang ◽  
Yilei Wang ◽  
Minghao Zhao ◽  
...  
Keyword(s):  
Game Theory ◽  
Internet Of Things ◽  
Building Blocks ◽  
Emerging Technology ◽  
Economic Incentives ◽  
Research Progress ◽  
Smart Contracts ◽  
Future Directions ◽  
Smart Contract ◽  
Game Theoretic

Blockchain has been an emerging technology, which comprises lots of fields such as distributed systems and Internet of Things (IoT). As is well known, blockchain is the underlying technology of bitcoin, whose initial motivation is derived from economic incentives. Therefore, lots of components of blockchain (e.g., consensus mechanism) can be constructed toward the view of game theory. In this paper, we highlight the combination of game theory and blockchain, including rational smart contracts, game theoretic attacks, and rational mining strategies. When put differently, the rational parties, who manage to maximize their utilities, involved in blockchain chose their strategies according to the economic incentives. Consequently, we focus on the influence of rational parties with respect to building blocks. More specifically, we investigate the research progress from the aspects of smart contract, rational attacks, and consensus mechanism, respectively. Finally, we present some future directions based on the brief survey with respect to game theory and blockchain.

Loss-Tolerant Event Communications Within Industrial Internet of Things by Leveraging on Game Theoretic Intelligence

2018 ◽  
Vol 5 (3) ◽  
pp. 1679-1689 ◽  
Author(s):  
Christian Esposito ◽  
Massimo Ficco ◽  
Aniello Castiglione ◽  
Francesco Palmieri ◽  
Huimin Lu
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Game Theoretic

scholarly journals Optimal Game-Based Energy Management with Renewable Energy for Secure Electric Vehicles Charging in Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Huwei Chen ◽  
Shijun Chen ◽  
Shanhe Jiang
Keyword(s):  
Renewable Energy ◽  
Internet Of Things ◽  
Electric Vehicles ◽  
Energy Demand ◽  
Stackelberg Game ◽  
Scheduling Algorithm ◽  
Optimal Solution ◽  
Stackelberg Equilibrium ◽  
Charging System ◽  
Game Theoretic

The integration of smart grid and Internet of Things (IoT) has been facilitated with the proliferation of electric vehicles (EVs). However, due to EVs’ random mobility and different interests of energy demand, there exists a significant challenge to optimally schedule energy supply in IoT. In this paper, we propose a secure game theoretic scheme for charging EVs supplied by mobile charging stations (MCSs) in IoT, considering the dynamic renewable energy source. Firstly, the charging system composed of MCSs is developed to implement the charging service. Secondly, when the secure charging scheme of EV users is designed, the utility function of each entity in the charging system is formulated to express the trading relationship between EV users and MCSs. Moreover, with consideration of the competition and cooperation, we propose a Stackelberg game framework with sub-noncooperative optimization. Thirdly, the existence and uniqueness of both Stackelberg equilibrium (SE) and Nash equilibrium (NE) are theoretically analyzed and proved. Through the presented distributed energy scheduling algorithm, we can achieve the optimal solution. Finally, numerical results demonstrate the effectiveness and efficiency of our proposal through comparison with other existing schemes.

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