Next-Generation Cybersecurity AI, ML, and Blockchain / edited by Keshav Kaushik, Ishu Sharma.

Next-Generation Cybersecurity AI, ML, and Blockchain /

This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in th...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kaushik, Keshav (Editor), Sharma, Ishu (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Blockchain Technologies,
Subjects:
Security systems.
Blockchains (Databases).
Machine learning.
Artificial intelligence.
Internet of things.
Online Access: Full text (Wentworth users only)
Table of Contents:
  • Introduction to Cybersecurity with AI, ML, and Blockchain
  • Opportunities and Challenges in New Generation Cyber Security Applications using Artificial Intelligence, Machine Learning and Block Chain
  • AI and Blockchain for Secure Data Analytics
  • Synergizing Artificial Intelligence and Blockchain
  • Blockchain-Based Smart Contracts: Technical and Usage Aspects
  • An Impact of Cyber Security and Blockchain in Healthcare Industry: an implementation through AI
  • Deep Learning and Blockchain Applications in Healthcare Sector using Imaging Data
  • Healthcare Data Security using AI and Blockchain: Safeguarding Sensitive Information for a Safer Society
  • The Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration
  • Impact of Neural Network on Malware Detection
  • Evaluating different malware detection neural network architectures
  • Protecting Your Assets: Effective Use of Cybersecurity Measures in Banking Industries
  • Revolutionizing Banking with Blockchain:Opportunities and Challenges Ahead
  • Leveraging AI and Blockchain for Enhanced IoT Cybersecurity
  • Dissecting the Role of Women in Cybersecurity and Information Technology: A Medical Perspective
  • A Comprehensive Exploration of Advancements and Applications of Digital Watermarking
  • Optimizing Drug Discovery: Molecular Docking with Glow-worm Swarm Optimization
  • Bridging the Gap Between Learning and Security: An Investigation of Blended Learning Systems and Ransomware Detection
  • Ethical Considerations in AI-based Cybersecurity.

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