Title
A stochastic game for adaptive security in constrained wireless body area networks
Abstract
Using Internet of Things (IoT) in the health domain is one of the most promising approaches which offer a ubiquitous healthcare where sensors are used, in real time, for constant monitoring of patient's symptoms and needs wherever he is. Wireless body area network (WBAN) is a highly suitable communication tool for the medical IoT devices. However, the conception of WBAN applications is still a challenging job that should take into consideration many technical requirements such as network lifetime, security level, network throughput and data criticality and prioritization. As a consequence, a trade-off between security effectiveness, energy efficiency, and QoS requirements can be perceived as a major performance objective. In this paper, we propose a stochastic game to balance the tradeoff between network performance and security level while taking into account the context dynamics. Simulation results show that the proposed approach can achieve an acceptable security level and is more efficient than benchmark algorithms in terms of network lifetime and throughput.
Year
DOI
Venue
2018
10.1109/CCNC.2018.8319222
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Keywords
Field
DocType
IoT,Health,WBAN,Game theory,Nash Equilibrium Adaptive security,QoS requirements
Wireless,Efficient energy use,Computer science,Quality of service,Computer network,Body area network,Criticality,Throughput,Stochastic game,Distributed computing,Network performance
Conference
ISSN
ISBN
Citations 
2331-9852
978-1-5386-4791-2
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Amel Arfaoui122.07
Asma Ben Letaifa21812.51
Ali Kribeche323.09
Sidi Mohammed Senouci417526.99
Mohamed Hamdi512216.75