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AI Enhanced Cyber Threat
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ISBN 13

ISBN 10

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No. of Pages

Type of book

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Save ₹22.2 (15% Off)
Price Original price was: ₹148.00.Current price is: ₹125.80.
Categories Sathyabama Series
Condition Type New
Country Origin India

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Description

AI Enhanced Cyber Threat

In the rapidly evolving digital landscape. Artificial intelligence (AI) presents a double – edged sword. While it serves as the foundation for next-generation defense systems. It is simultaneously being weaponized by adversaries to create sophisticated, adaptive, and highly evasive cyber threats.

AI Enhanced cyber threats offers a vital, comprehensive analysis of this critical intersection. This book meticulously explores the emerging methodologies where Ai and Machine Learning are used to launch automated spear-phishing campaigns, craft polymorphic malware, and bypass conventional security measures. Crucially, it provides IT professionals, security analysis, and researchers with actionable, cutting-edge strategies to counter these advanced threats.

From implementing adversarial training to fortify defense models to establishing secure deployment practices in complex IoT and cloud environments, this text is the definitive guide to building an intelligent, resilient, and adaptive cybersecurity posture in the AI age.

Salient Features:

  • Comprehensive threat analysis: In-depth exploration of how adversaries utilize AI to automate attacks, enhance phishing efficacy, and deploy adaptive malware.
  • Advanced Mitigation Strategies: Detailed coverage of AI-powered defense mechanisms, including Adversarial training to improve model resilience against attacks.
  • Real-time security implementation: Focus on deploying AI-powered anomaly detection systems for continuous, real-time monitoring ongoing compliance in modern infrastructure.
  • Secure IoT and cloud deployment: best practices for secure configuration of cloud services, network segmentation, and ensuring ongoing compliance in modern infrastructure.
  • Data security fundamentals: Insights on establishing effective patch management processes and conduction regular security audits and risk assessments.
  • Ideal for: undergraduate and postgraduate students, researchers, cybersecurity professionals, and network administrators seeking to master the principles of AI-driven security.

Table of Contents

Preface

  • Introduction and problem solving
  • Fundamentals of cybersecurity
  • Impact of AI on cybersecurity
  • Secure web and application security
  • Cyber threats

Author

Dr. R. Shalini

Associate Professor,

Dept of CSE, Sathyabama Institute

Of Science and technology

 

Dr. K. Veena

Associate professor,

Dept of CSE, Sathyabama Institute

Of science and technology

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