Security and Reliability of Internet of Underwater Things: Architecture, Challenges, and Opportunities

IF 23.8 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2024-10-17 DOI:10.1145/3700640

Bin Jiang, Jiacheng Feng, Xuerong Cui, Jian Wang, Yongxin Liu, Houbing Song

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引用次数: 0

Abstract

The Internet of Underwater Things (IoUT) pertains to a system that utilizes technology of Internet of Things (IoT) for data collection, communication, and control in the underwater environment. The monitoring and management of various parameters in the underwater domain are gathered through the deployment of underwater sensors, communication devices, and controllers. It is crucial in emerging ocean engineering. However, due to the instability of the underwater environment and the particularity of the underwater communication transmission medium, it is vulnerable to security threats, which may damage the system or cause data errors. In this survey, we will discuss the challenges, solutions and future directions of IoUT from security and reliability respectively. In order to ensure the normal operation of IoUT, we analyze the underwater security problems and solutions of the IoUT. Then, we discuss the reliability issue and improved strategies of IoUT system in detail. Finally, we come up with our views about the theories, challenges and future prospects of IoUT security after the comparative analysis.

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水下物联网的安全性和可靠性：架构、挑战和机遇

水下物联网（IoUT）是指在水下环境中利用物联网（IoT）技术进行数据收集、通信和控制的系统。通过部署水下传感器、通信设备和控制器，对水下领域的各种参数进行监测和管理。这对新兴的海洋工程至关重要。然而，由于水下环境的不稳定性和水下通信传输介质的特殊性，它很容易受到安全威胁，从而破坏系统或导致数据错误。本研究将分别从安全性和可靠性两方面探讨 IoUT 所面临的挑战、解决方案和未来发展方向。为了确保 IoUT 的正常运行，我们分析了 IoUT 的水下安全问题和解决方案。然后，我们详细讨论了 IoUT 系统的可靠性问题和改进策略。最后，通过对比分析，我们对物联网UT 安全性的理论、挑战和未来前景提出了自己的看法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.