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{ "item_title" : "Hardware Security", "item_author" : [" Khaled Mohamed "], "item_description" : "This book provides an effective guide to hardware security, presenting both conventional countermeasures and advanced AI-driven strategies for preventing, detecting, and mitigating security vulnerabilities. Topics covered include secure design practices, access control, obfuscation, Physically Unclonable Functions (PUFs), True Random Number Generators (TRNGs), side-channel analysis, and formal verification methods. The integration of AI and biologically inspired approaches, such as Artificial Immune Systems, is explored as a transformative tool for adaptive, self-learning defenses that enhance detection and response capabilities. Intended for engineers, researchers, and security-conscious professionals, this book equips readers with practical insights and methodologies to protect modern digital systems against evolving hardware threats, ensuring reliability, trust, and resilience in an increasingly interconnected world.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/227/206/3032272068_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Hardware Security|Khaled Mohamed

Hardware Security : Threats, Prevention, and Ai-Driven Countermeasures

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Overview

This book provides an effective guide to hardware security, presenting both conventional countermeasures and advanced AI-driven strategies for preventing, detecting, and mitigating security vulnerabilities. Topics covered include secure design practices, access control, obfuscation, Physically Unclonable Functions (PUFs), True Random Number Generators (TRNGs), side-channel analysis, and formal verification methods. The integration of AI and biologically inspired approaches, such as Artificial Immune Systems, is explored as a transformative tool for adaptive, self-learning defenses that enhance detection and response capabilities.

Intended for engineers, researchers, and security-conscious professionals, this book equips readers with practical insights and methodologies to protect modern digital systems against evolving hardware threats, ensuring reliability, trust, and resilience in an increasingly interconnected world.

This item is Non-Returnable

Details

  • ISBN-13: 9783032272065
  • ISBN-10: 3032272068
  • Publisher: Springer
  • Publish Date: May 2026
  • Dimensions: 9.59 x 6.98 x 0.46 inches
  • Shipping Weight: 0.82 pounds
  • Page Count: 91

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