Anti-Eavesdropping by Exploiting the Space–Time Coupling in UANs

Author:

Wang Yan1,Ji Fei1,Guan Quansheng1ORCID,Zhao Hao2,Yao Kexing1,Chen Weiqi3

Affiliation:

1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China

2. School of Computer Science and Information Engineering, Guangzhou Maritime University, Guangzhou 510725, China

3. School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou 510521, China

Abstract

Due to the space–time coupling access, we find that anti-eavesdropping opportunities exist in underwater acoustic networks (UANs), where packets can be successfully received only by the intended receiver, but collide at the unintended receivers. These opportunities are highly spatially dependent, and this paper studies the case that linearly deployed sensor nodes directly report data toward a single collector. We found an eavesdropping ring centered around these linearly deployed sensor nodes, where the eavesdropper could steal all the reported data. Since the typical receiving-alignment-based scheduling MAC (TRAS-MAC) will expose the relative spatial information among the sensor nodes with the collector, the eavesdropper can locate the eavesdropping ring. Although moving the collector into the one-dimensional sensor node chain can degrade the eavesdropping ring to a point that constrains the eavesdropping risk, the collector’s location will be subsequently exposed to the eavesdropper. To efficiently protect the reported data and prevent the exposure of the collector’s location, we designed a slotted- and receiving-alignment-based scheduling MAC (SRAS-MAC). The NS-3 simulation results showed the effectiveness of the SRAS-MAC and the TRAS-MAC in protecting data from eavesdropping, which protect 90% of the data from eavesdropping in the one-eavesdropper case and up to 80% of data from eavesdropping in ten-eavesdropper cases. Moreover, unlike TRAS-MAC, which will expose the collector’s location, SRAS-MAC provides multiple positions for the collector to hide, and the eavesdropper cannot distinguish where it is.

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province of China

Publisher

MDPI AG

Reference36 articles.

1. Underwater internet of things in smart ocean: System architecture and open issues;Qiu;IEEE Trans. Ind. Informat.,2020

2. Underwater sensor networks for smart disaster management;Coutinho;IEEE Trans. Consum. Electron.,2020

3. Federated meta-learning enhanced acoustic radio cooperative framework for ocean of things;Zhao;IEEE J. Sel. Top. Signal Process.,2022

4. Deep-learning geoacoustic inversion using multi-range vertical array data in shallow water;Liu;J. Acoust. Soc. Am.,2022

5. State-of-the-art medium access control (MAC) protocols for underwater acoustic networks: A survey based on a MAC reference model;Jiang;IEEE Commun. Surv. Tutor.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3