Location Aware Clustering: Scalable Authentication Protocol for UAV Swarms

被引：11

作者：

Bansal, Gaurang ^{[1
]}

Sikdar, Biplab ^{[1
]}

机构：

[1] Department of Electrical and Computer Engineering, National University of Singapore, Singapore

来源：

IEEE Networking Letters | 2021年 / 3卷 / 04期

关键词：

authentication; physical security; PUFs; UAVs;

D O I：

10.1109/LNET.2021.3116073

中图分类号：

学科分类号：

摘要：

This letter proposes a scalable authentication protocol to address the security vulnerabilities in UAV-base station communication. UAVs are particularly vulnerable to multiple cyberattacks such as physical capture, cloning attacks, eavesdropping, and man-in-middle attacks. Current solutions propose to address these issues using one-to-one authentication. However, the approach is not scalable, especially in scenarios where a group of UAVs is deployed to provide services to end-users. The scalability is achieved using the K-Means clustering algorithm. The proposed protocol outperforms state-of-the-art approaches in terms of total authentication time. © 2019 IEEE.

引用

页码：177 / 180

页数：3

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