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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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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

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Copyright © 2021 Association for Computing Machinery.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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New York, NY, United States

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/10.1109/TNNLS.2023.3339786
Alinia MMohammad Hossein Hasheminejad S(2025)DiSA-CFExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.125223259:COnline publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1016/j.eswa.2024.125223
Singla SSodhi N(2024)Analyzing the Data Privacy and Security of Smart Home Automation Frameworks Utilized in the Progressive SocietyFuture of Digital Technology and AI in Social Sectors10.4018/979-8-3693-5533-6.ch010(261-296)Online publication date: 27-Sep-2024
https://doi.org/10.4018/979-8-3693-5533-6.ch010
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