Artificial Intelligence and Data Mining Approaches in Security Frameworks
eBook - PDF

Artificial Intelligence and Data Mining Approaches in Security Frameworks

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Artificial Intelligence and Data Mining Approaches in Security Frameworks

About this book

ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS

Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts.

Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner.

This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice.

This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library.

This groundbreaking new volume:

  • Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks
  • Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day
  • Contains numerous examples, offering critical solutions to engineers and scientists
  • Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole

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Yes, you can access Artificial Intelligence and Data Mining Approaches in Security Frameworks by Neeraj Bhargava, Ritu Bhargava, Pramod Singh Rathore, Rashmi Agrawal, Neeraj Bhargava,Ritu Bhargava,Pramod Singh Rathore,Rashmi Agrawal in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. 1 Role of AI in Cyber Security
  9. 2 Privacy Preserving Using Data Mining
  10. 3 Role of Artificial Intelligence in Cyber Security and Security Framework
  11. 4 Botnet Detection Using Artificial Intelligence
  12. 5 Spam Filtering Using AI
  13. 6 Artificial Intelligence in the Cyber Security Environment
  14. 7 Privacy in Multi-Tenancy Frameworks Using AI
  15. 8 Biometric Facial Detection and Recognition Based on ILPB and SVM
  16. 9 Intelligent Robot for Automatic Detection of Defects in Pre-Stressed Multi-Strand Wires and Medical Gas Pipe Line System Using
  17. 10 Fuzzy Approach for Designing Security Framework
  18. 11 Threat Analysis Using Data Mining Technique
  19. 12 Intrusion Detection Using Data Mining
  20. 13 A Maize Crop Yield Optimization and Healthcare Monitoring Framework Using Firefly Algorithm through IoT
  21. 14 Vision-Based Gesture Recognition: A Critical Review
  22. 15 SPAM Filtering Using Artificial Intelligence
  23. About the Editors
  24. Index
  25. EULA