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Explainable Artificial Intelligence (Xai) for Next Generation Cybersecurity - (Security) by Farhan Ullah & Gautam Srivastava & Awais Ahmad

Explainable Artificial Intelligence (Xai) for Next Generation Cybersecurity - (Security) by  Farhan Ullah & Gautam Srivastava & Awais Ahmad - 1 of 1
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About this item

Highlights

  • As AI technologies progress and influence more facets of our lives, the requirement for openness and interpretability becomes increasingly important.
  • Author(s): Farhan Ullah & Gautam Srivastava & Awais Ahmad
  • 250 Pages
  • Computers + Internet, Security
  • Series Name: Security

Description



About the Book



This book explores how AI and Explainable AI-based cybersecurity algorithms and methods are used to tackle cybersecurity challenges such as threats, intrusions and attacks to preserve data privacy and ensure trust, accountability, transparency and compliance while optimizing computational and communication costs.



Book Synopsis



As AI technologies progress and influence more facets of our lives, the requirement for openness and interpretability becomes increasingly important. Explainable AI (XAI) has the potential to be a paradigm shift in the next generation of AI systems. XAI strives to make AI algorithms and methods understandable by tackling trust, bias, compliance, and accountability challenges. XAI improves model disclosure, produces intrinsically interpretable deep learning approaches, offers real-time rationales, and promotes legitimate AI practice. These advances assist in the development of a more ethically sound AI ecosystem.

As the IoT evolves and supply chains become more complex, novel avenues for attack arise. The ever-changing threat landscape includes powerful adversaries such as malicious actors and hackers who are always refining their strategies, and demand ongoing monitoring and adaptive responses. Cybersecurity helps safeguard data, identify fraud, protect vital infrastructure, and ensure confidentiality. Considering the dynamic nature of the cybersecurity battlefront, a holistic approach must include pre-emptive threat intelligence, staff training, effective security tools, regular upgrades, and global collaboration. Explainable AI (XAI) explains security alerts, reduces false positives and enables faster incident response.

The objective of this book is to explore how the integration of XAI-based cybersecurity algorithms and methods support threat detection and decision-making by preserving privacy and trust, ensuring interpretability and accountability, and optimizing computational and communication costs.

This book will be a useful reference for computing and security researchers, scientists, and IT professionals in academia and industry, who are developing and designing innovative cyber threat and vulnerability detection systems and solutions, as well as advanced students and lecturers to better understand AI and XAI algorithms for cybersecurity applications.

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 250
Genre: Computers + Internet
Sub-Genre: Security
Series Title: Security
Publisher: Institution of Engineering & Technology
Theme: Networking
Format: Hardcover
Author: Farhan Ullah & Gautam Srivastava & Awais Ahmad
Language: English
Street Date: October 1, 2025
TCIN: 1004161959
UPC: 9781837240319
Item Number (DPCI): 247-28-0307
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 pounds
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