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Sustainable IoT Security in Entrepreneurship: Leveraging Univariate Feature Selection and Deep CNN Model for Innovation and Knowledge

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  • Brij B. Gupta

    (Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan
    Symbiosis Centre for Information Technology (SCIT), Symbiosis International University, Pune 412115, India
    Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun 248007, India
    University Center for Research & Development (UCRD), Chandigarh University, Chandigarh 140413, India)

  • Akshat Gaurav

    (Computer Science and Engineering, Ronin Institute, Montclair, NJ 07043, USA)

  • Razaz Waheeb Attar

    (Management Department, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

  • Varsha Arya

    (Department of Business Administration, Asia University, Taichung 413, Taiwan
    Department of Electrical and Computer Engineering, Lebanese American University, Beirut 1102, Lebanon)

  • Ahmed Alhomoud

    (Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha 91911, Saudi Arabia)

  • Kwok Tai Chui

    (Department of Electronic Engineering and Computer Science, Hong Kong Metropolitan University (HKMU), Hong Kong)

Abstract

Due to the rapid increase in Internet of Things (IoT) devices in entrepreneurial environments, innovative cybersecurity advancements are needed to defend against escalating cyber threats. The present paper proposes an approach involving univariate feature selection leading to Sustainable IoT security. This method aims at increasing the efficiency and accuracy of the deep Convolutional Neural Network (CNN) model concerning botnet attack detection and mitigation. The approach to obtaining Sustainable IoT Security goes beyond the focus on technical aspects by proving that increased cybersecurity in IoT environments also fosters entrepreneurship in terms of stimulation, knowledge increase, and innovation. This approach is a major step towards providing entrepreneurs with the necessary tools to protect them in this digital era, which will enable and support the defense against cyber threats. A secure, innovative, and knowledgeable entrepreneurial environment is the result of Sustainable IoT security.

Suggested Citation

  • Brij B. Gupta & Akshat Gaurav & Razaz Waheeb Attar & Varsha Arya & Ahmed Alhomoud & Kwok Tai Chui, 2024. "Sustainable IoT Security in Entrepreneurship: Leveraging Univariate Feature Selection and Deep CNN Model for Innovation and Knowledge," Sustainability, MDPI, vol. 16(14), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6219-:d:1439429
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    References listed on IDEAS

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    1. Xuefang Xie & Xuemei Xie & Carla Martínez-Climent, 2019. "Identifying the factors determining the entrepreneurial ecosystem of internet cultural industries in emerging economies," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 503-522, June.
    2. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
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