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Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications
Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications
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91,06 €
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The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to sec…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 269
  • ISBN-10: 1032805927
  • ISBN-13: 9781032805924
  • Kalba: Anglų

Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications (el. knyga) (skaityta knyga) | knygos.lt

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The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.

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  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 269
  • ISBN-10: 1032805927
  • ISBN-13: 9781032805924
  • Kalba: Anglų

The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.

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