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Artificial Intelligence and Cyber Security in Industry 4.0

Forfatter: info mangler
Bog
  • Format
  • Bog, hæftet
  • Engelsk
  • 384 sider

Beskrivelse

This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.

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Detaljer
  • SprogEngelsk
  • Sidetal384
  • Udgivelsesdato14-06-2023
  • ISBN139789819921164
  • Forlag Springer
  • FormatHæftet
Størrelse og vægt
  • Vægt540 g
  • Dybde2 cm
  • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

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