game theory
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2022 ◽  
Vol 176 ◽  
pp. 106507
Heleen Vreugdenhil ◽  
Stephanie Janssen ◽  
Leon Hermans ◽  
Jill Slinger

2022 ◽  
Vol 8 ◽  
pp. 114-136
Gang Wang ◽  
Yuechao Chao ◽  
Yong Cao ◽  
Tieliu Jiang ◽  
Wei Han ◽  

10.1142/12540 ◽  
2022 ◽  
Ulrich Faigle

2022 ◽  
Vol 22 (2) ◽  
pp. 1-21
Hongyang Yan ◽  
Nan Jiang ◽  
Kang Li ◽  
Yilei Wang ◽  
Guoyu Yang

At present, clients can outsource lots of complex and abundant computation, e.g., Internet of things (IoT), tasks to clouds by the “pay as you go” model. Outsourcing computation can save costs for clients and fully utilize the existing cloud infrastructures. However, it is hard for clients to trust the clouds even if blockchain is used as the trusted platform. In this article, we utilize the verification method as SETI@home by only two rational clouds, who hope to maximize their utilities. Utilities are defined as the incomes of clouds when they provide computation results to clients. More specifically, one client outsources two jobs to two clouds and each job contains n tasks, which include k identical sentinels. Two clouds can either honestly compute each task or collude on the identical sentinel tasks by agreeing on random values. If the results of identical sentinels are identical, then client regards the jobs as correctly computed without verification. Obviously, rational clouds have incentives to deviate by collusion and provide identical random results for a higher income. We discuss how to prevent collusion by using deposits, e.g., bit-coins. Furthermore, utilities for each cloud can be automatically assigned by a smart contract. We prove that, given proper parameters, two rational clouds will honestly send correct results to the client without collusion.

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0

A novel secure energy aware game theory (SEGaT) method has proposed to have better coordination in wireless sensor actor networks. An actor has a cluster of sensor nodes which is required to perform different action based on the need that emerge in the network individually or sometime with coordination from other actors. The method has different stages for the fulfilment of these actions. Based on energy aware actor selection (EAAS), selection of number of actors and their approach is the initial step followed by the selection of best team of sensors with each actor to carry out the action and lastly the selection of reliable node within that team to finally nail the action into place in the network for its smooth working and minimum compromise in the energy The simulations are done in MATLAB and result of the energy and the packet delivery ratio are compared with game theory (GaT) and real time energy constraint (RTEC) method. The proposed protocol performs better in terms of energy consumption, packet delivery ratio as compared to its competitive protocols.

2022 ◽  
pp. 363-392
Andrew Fielder

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