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Research on the new types of vulnerabilities to social engineering attacks that the convergence of Industrial Internet of Things (IIoT) and smart industry technologies has created and can compromise critical industrial systems. This detailed exploration of best practices analyzes the distinct threats posed by social engineering attacks in industrial settings and offers cutting-edge detection and prevention strategies. By systematically elucidating attack methodologies and defensive approaches, we offer frameworks to safeguard industrial systems against the evolving threat of social engineering. We provide a dual approach: technical analysis for academic readers and implementation guidance for practitioners in the industrial world.

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Social Engineering Attacks in Industrial Internet of Things and Smart Industry: Detection and Prevention

  • 章节

  • 发表日期：

    2026年

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  • Asokan Vasudevan,
  • Suleiman Ibrahim Shelash Mohammad,
  • Anber Abraheem Shlash Mohammad,
  • Khaleel Ibrahim Al-Daoud,
  • Suhaila Abuowaida,
  • Anas Y. AlHadid,
  • Annie Wang Pei Ling,
  • Alaa Alzoubi,
  • Muhamad Saufi Che Rusuli

摘要

Research on the new types of vulnerabilities to social engineering attacks that the convergence of Industrial Internet of Things (IIoT) and smart industry technologies has created and can compromise critical industrial systems. This detailed exploration of best practices analyzes the distinct threats posed by social engineering attacks in industrial settings and offers cutting-edge detection and prevention strategies. By systematically elucidating attack methodologies and defensive approaches, we offer frameworks to safeguard industrial systems against the evolving threat of social engineering. We provide a dual approach: technical analysis for academic readers and implementation guidance for practitioners in the industrial world.