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Explainable Artificial Intelligence for Trustworthy Internet of Things - (Computing and Networks) (Hardcover)
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About this item
Highlights
- A major challenge for machine learning solutions is that their efficiency in real-world applications is constrained by the current lack of ability of the machine to explain its decisions and activities to human users.
- Author(s): Mohamed Abdel-Basset & Nour Moustafa & Hossam Hawash & Albert Y Zomaya
- 445 Pages
- Computers + Internet, Intelligence (AI) & Semantics
- Series Name: Computing and Networks
Description
About the Book
From innovative solutions for securing IoT infrastructures against security attacks and privacy threats to advanced topics including responsible security intelligence, this comprehensive co-authored book offers a complete study of explainable artificial intelligence (XAI) for securing the internet of things (IoT).
Book Synopsis
A major challenge for machine learning solutions is that their efficiency in real-world applications is constrained by the current lack of ability of the machine to explain its decisions and activities to human users. Biases based on race, gender, age or location have been a long-standing risk in training AI models. Furthermore, AI model performance can degrade because production data differs from training data. Explainable AI (XAI) is the practice of interpreting how and why a machine learning algorithm estimates its predictions. It can also help machine learning practitioners and data scientists understand and interpret a model's behaviour. XAI supports end-users to trust a model's auditability and the productive use of AI. It also mitigates AI compliance, legal, security and reputational risks. Among these applications, the security of IoT infrastructures is vitally essential for improving trust in broad-scale applications such as smart healthcare, smart manufacturing, smart agriculture and smart transportation. This comprehensive co-authored book offers a complete study of explainable artificial intelligence (XAI) for securing the Internet of things (IoT). The authors present innovative XAI solutions for securing IoT infrastructures against security attacks and privacy threats and cover advanced research topics including responsible security intelligence.Providing a systematic and thorough overview of the field, this book will be a valuable resource for ICT researchers, AI and data science engineers, security analysts, undergraduate and graduate students and professionals who wish to gain a fundamental understanding of intelligent security solutions.
Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x 1.0 Inches (D)
Weight: 1.77 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 445
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Series Title: Computing and Networks
Publisher: Institution of Engineering & Technology
Format: Hardcover
Author: Mohamed Abdel-Basset & Nour Moustafa & Hossam Hawash & Albert Y Zomaya
Language: English
Street Date: November 19, 2024
TCIN: 1003612725
UPC: 9781839538025
Item Number (DPCI): 247-05-4338
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 1 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1.77 pounds
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