Starlet:Network defense resource allocation with multi-armed bandits for cloud-edge crowd sensing in IoT

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外文摘要：The cloud platform has limited defense resources to fully protect the edge servers used to process crowd sensing data in Internet of Things.To guarantee the network's overall security,we present a network defense resource allocation with multi-armed bandits to maximize the network's overall benefit.Firstly,we propose the method for dynamic setting of node defense resource thresholds to obtain the defender(attacker)benefit function of edge servers(nodes)and distribution.Secondly,we design a defense resource sharing mechanism for neighboring nodes to obtain the defense capability of nodes.Subsequently,we use the decomposability and Lipschitz conti-nuity of the defender's total expected utility to reduce the difference between the utility's discrete and continuous arms and analyze the difference theoretically.Finally,experimental results show that the method maximizes the defender's total expected utility and reduces the difference between the discrete and continuous arms of the utility.

外文关键词：

Internet of thingsDefense resource sharingMulti-armed banditsDefense resource allocation

作者：

Hui Xia、Ning Huang、Xuecai Feng、Rui Zhang、Chao Liu

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作者单位：

College of Computer Science and Technology,Ocean University of China,Qingdao,266100,China

基金：

National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)Shandong Provincial Natural Science FoundationStartup Research Foundation for Distinguished Scholars

项目编号：

6217237761872205ZR2019MF018202112016

出版年：

2024

DOI：

10.1016/j.dcan.2023.03.009

数字通信与网络(英文)

ISSN：

年,卷(期)：2024.10(3)