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Robot-Based Security Management System for Smart Cities Using Machine Learning Techniques

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Cyber Security Impact on Digitalization and Business Intelligence

Part of the book series: Studies in Big Data ((SBD,volume 117))

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Abstract

Recently, smart cities are developing more slowly, gathering plenty of data and communication skills to improve service worth. Despite the smart city concept offerings many beneficial services, security management is still a significant problem because of shared threats and activities. The security aspects of smart cities should be constantly assessed to remove the unnecessary events employed to improve the superiority of the facilities to solve the issues. This study shows how robots are used in the smart city to manage privacy-related problems and actively learn how to forecast the superiority of facilities. Today, smart city development depends heavily on advancing technologies like the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, and Geospatial Technology. Machine learning, a branch of artificial intelligence, excels in security management systems. The proposed model may overwhelm the security challenges and presents how to keep and obtain their necessary robot-based security solutions by providing maintaining security services.

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Authors and Affiliations

  1. College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates

    Ahmad Qasim Mohammad AlHamad

  2. Department of Marketing, School of Business, The University of Jordan, Amman, 11942, Jordan

    Samer Hamadneh & Muhammad Turki Alshurideh

  3. Department of Business Administration, College of Business, Al Ain University, Abu Dhabi Campus, P.O. Box 112612, Abu Dhabi, UAE

    Mohammed T. Nuseir

  4. Department of Management, College of Business, University of Sharjah, 27272, Sharjah, United Arab Emirates

    Muhammad Turki Alshurideh

  5. School of Business, Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

  6. Department of Marketing, Faculty of Economics and Administrative Sciences, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan

    Barween Al Kurdi

  7. Applied Science Research Center, Applied Science Private University, Amman, Jordan

    Haitham M. Alzoubi

Authors
  1. Ahmad Qasim Mohammad AlHamad
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  2. Samer Hamadneh
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  3. Mohammed T. Nuseir
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  4. Muhammad Turki Alshurideh
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  5. Haitham M. Alzoubi
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  6. Barween Al Kurdi
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Correspondence to Muhammad Turki Alshurideh .

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Editors and Affiliations

  1. School of Business, Skyline University College, Sharjah, United Arab Emirates

    Haitham M. Alzoubi

  2. Department of Marketing, School of Business, The University of Jordan, Amman, Jordan

    Muhammad Turki Alshurideh

  3. School of Information Technology, Skyline University College, Sharjah, United Arab Emirates

    Taher M. Ghazal

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AlHamad, A.Q.M., Hamadneh, S., Nuseir, M.T., Alshurideh, M.T., Alzoubi, H.M., Al Kurdi, B. (2024). Robot-Based Security Management System for Smart Cities Using Machine Learning Techniques. In: Alzoubi , H.M., Alshurideh, M.T., Ghazal, T.M. (eds) Cyber Security Impact on Digitalization and Business Intelligence. Studies in Big Data, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-031-31801-6_10

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