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AI-empowered IoT Security for Smart Cities

Authors:

Amit Kumar Singh,

Qingjun WangAuthors Info & Claims

ACM Transactions on Internet Technology, Volume 21, Issue 4

Article No.: 99, Pages 1 - 21

https://doi.org/10.1145/3406115

Published: 22 July 2021 Publication History

Abstract

Smart cities fully utilize the new generation of Internet of Things (IoT) technology in the process of urban informatization to optimize the urban management and service. However, in the IoT system, while information exchange and communication, wireless sensor network devices may not be able to resist all forms of attacks, which may lead to security issues such as user data disclosure. Aiming at the information security risks in smart city, the typical technologies in IoT is analyzed from the perspective of IoT perception layer and provides corresponding security solutions for the existing security threats. Regarding the communication security, the emerging wireless technology, long range (LoRa), is discussed, and the performance of wireless communication protocol is analyzed through simulation experiments, to verify that the IoT technology based on LoRa communication technology can improve the security of the system in the construction of smart city. The results show that REBEB, a new backoff algorithm, is similar to the binary exponential backoff algorithm in terms of throughput performance. REBEB focuses more on fairness, which is up to 0.985, and to a certain extent, its security is significantly improved. The fairness of REBEB algorithm is more than 0.4 in different nodes and competing windows, and the fairness of the system is better when the number of nodes is small. To sum up, the IoT system based on LoRa communication can effectively improve the security performance of the system in the construction of smart city and avoid the security threats in the IoT signal transmission.

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Cited By

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https://doi.org/10.4018/979-8-3693-5533-6.ch010
Youldash MRahman AAlsayed MSebiany AAlzayat JAljishi NAlshammari GAlqahtani M(2024)Early Detection and Classification of Diabetic Retinopathy: A Deep Learning ApproachAI10.3390/ai50401255:4(2586-2617)Online publication date: 29-Nov-2024
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Wong AGoh SHasan MFattah S(2024)Multi-Hop and Mesh for LoRa Networks: Recent Advancements, Issues, and Recommended ApplicationsACM Computing Surveys10.1145/363824156:6(1-43)Online publication date: 22-Jan-2024
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Index Terms

AI-empowered IoT Security for Smart Cities
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
2. Networks
  1. Network properties
    1. Network security
      1. Mobile and wireless security

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 21, Issue 4

November 2021

520 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3472282

Editor:
Ling Lu
Georgia Institute of Technology, USA

Issue’s Table of Contents

Copyright © 2021 Association for Computing Machinery.

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Publication History

Published: 22 July 2021

Accepted: 01 June 2020

Revised: 01 June 2020

Received: 01 April 2020

Published in TOIT Volume 21, Issue 4

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National Natural Science Foundation of China
Key Research and Development Plan—Major Scientific and Technological Innovation Projects of ShanDong Province

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https://doi.org/10.4018/979-8-3693-5533-6.ch010
Youldash MRahman AAlsayed MSebiany AAlzayat JAljishi NAlshammari GAlqahtani M(2024)Early Detection and Classification of Diabetic Retinopathy: A Deep Learning ApproachAI10.3390/ai50401255:4(2586-2617)Online publication date: 29-Nov-2024
https://doi.org/10.3390/ai5040125
Wong AGoh SHasan MFattah S(2024)Multi-Hop and Mesh for LoRa Networks: Recent Advancements, Issues, and Recommended ApplicationsACM Computing Surveys10.1145/363824156:6(1-43)Online publication date: 22-Jan-2024
https://doi.org/10.1145/3638241
Sai YWang T(2024)IoT Information Security System Based on Artificial Intelligence2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON)10.1109/NMITCON62075.2024.10698883(1-6)Online publication date: 9-Aug-2024
https://doi.org/10.1109/NMITCON62075.2024.10698883
Saini D(2024)AI-based effective transport management system using fused WSN data2023 International Conference on Smart Devices (ICSD)10.1109/ICSD60021.2024.10751565(1-5)Online publication date: 2-May-2024
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Luzolo PElrawashdeh ZTchappi IGalland SOutay F(2024)Combining multi-agent systems and Artificial Intelligence of Things: Technical challenges and gainsInternet of Things10.1016/j.iot.2024.101364(101364)Online publication date: Sep-2024
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