AI-empowered loT Security for Smart Cities

被引:42
|
作者
Lv, Zhihan [1 ,5 ]
Qiao, Liang [1 ,5 ]
Singh, Amit Kumar [2 ]
Wang, Qingjun [3 ,4 ]
机构
[1] Sch Data Sci & Software Engn, Qingdao 266071, Peoples R China
[2] Natl Inst Technol Patna, Dept Comp Sci & Engn, Patna 800005, Bihar, India
[3] Shenyang Aerosp Univ, Shenyang 110136, Peoples R China
[4] Nanjing Univ Aeronaut, Nanjing, Peoples R China
[5] Qingdao Univ, Coll Comp Sci & Technol, Qingdao 266071, Peoples R China
基金
中国国家自然科学基金;
关键词
Smart city; internet of things security; artificial intelligence; LoRa communication; REBEB; INTERNET-OF-THINGS; ARCHITECTURES; MANAGEMENT; IOT;
D O I
10.1145/3406115
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 loT 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.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] A Survey on AI-Empowered Softwarized Industrial IoT Networks
    Rojas, Elisa
    Carrascal, David
    Lopez-Pajares, Diego
    Alvarez-Horcajo, Joaquin
    Carral, Juan A.
    Arco, Jose Manuel
    Martinez-Yelmo, Isaias
    ELECTRONICS, 2024, 13 (10)
  • [22] Adaptive and Dynamic Security in AI-Empowered 6G: From an Energy Efficiency Perspective
    Shen S.
    Yu C.
    Zhang K.
    Ni J.
    Ci S.
    IEEE Communications Standards Magazine, 2021, 5 (03): : 80 - 88
  • [23] AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
    Latif, Sohaib A.
    Wen, Fang B. Xian
    Iwendi, Celestine
    Wang, Li-li F.
    Mohsin, Syed Muhammad
    Han, Zhaoyang
    Band, Shahab S.
    COMPUTER COMMUNICATIONS, 2022, 181 : 274 - 283
  • [24] The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
    Xu, Fang
    Hussain, Touseef
    Ahmed, Manzoor
    Ali, Khurshed
    Mirza, Muhammad Ayzed
    Khan, Wali Ullah
    Ihsan, Asim
    Han, Zhu
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (24) : 21763 - 21786
  • [25] AI-Empowered Metaverse Learning Simulation Technology Application
    Yu, Dongxing
    2023 INTERNATIONAL CONFERENCE ON INTELLIGENT METAVERSE TECHNOLOGIES & APPLICATIONS, IMETA, 2023, : 241 - 246
  • [26] Guest editorial: AI-empowered future communication networks
    Jin, Depeng
    Tao, Xiaoming
    Wang, Jintao
    Zhong, Xiaofeng
    CHINA COMMUNICATIONS, 2022, 19 (03) : 129 - 131
  • [27] Toward explainable AI-empowered cognitive health assessment
    Javed, Abdul Rehman
    Khan, Habib Ullah
    Alomari, Mohammad Kamel Bader
    Sarwar, Muhammad Usman
    Asim, Muhammad
    Almadhor, Ahmad S.
    Khan, Muhammad Zahid
    FRONTIERS IN PUBLIC HEALTH, 2023, 11
  • [28] The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
    Ahmed, Manzoor
    Hussain, Touseef
    Ali, Khurshed
    Mirza, Muhammad Ayzed
    Khan, Wali Ullah
    Ihsan, Asim
    Xu, Fang
    Han, Zhu
    TechRxiv, 2023,
  • [29] From Pixels to Metal: AI-Empowered Numismatic Art
    Machado, Penousal
    Martins, Tiago
    Correia, Joao
    Santo, Luis Espirito
    Lourenco, Nuno
    Cunha, Joao
    Rebelo, Sergio
    Martins, Pedro
    Bicker, Joao
    PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, 2024, : 7717 - 7725
  • [30] An AI-empowered infrastructure for risk prevention during medical examination
    Shah, Syed Ihtesham Hussain
    Naeem, Muddasar
    Paragliola, Giovanni
    Coronato, Antonio
    Pechenizkiy, Mykola
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 225