Artificial Intelligence and Digital Forensics
eBook - ePub

Artificial Intelligence and Digital Forensics

Advancements, Applications, Challenges, and Solutions

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Digital Forensics

Advancements, Applications, Challenges, and Solutions

About this book

Artificial Intelligence (AI) has revolutionized several sectors, with digital forensics being one that has been notably affected by its rapid advancement. AI brings previously unheard-of powers to this field, helping authorities examine large datasets, identify developments, and uncover digital evidence that is essential to cracking cybercrimes. Despite these promising developments, using AI in digital forensics presents problems. The complexity and dynamic nature of cyber-attacks are a significant challenge, demanding the ongoing adaptation of AI models to new attack strategies. This changing environment makes it difficult to create reliable and future-proof solutions. This book explores the advancements, applications, challenges, and solutions that AI brings to the realm of digital forensics.

Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges, and Solutions includes the latest applications and examples with real data making the book meaningful for readers. It is written in very simple language with each technology having its dedicated chapter that explains how it works and provides an example of a real-world application. Key points and a summary are provided at the end of each chapter to enable the readers to quickly review the major concepts as it presents a practical understanding, so the readers can be better equipped to handle AI-based tools with ease and efficiency. The book provides unconditional support to those who are making decisions by using massive data from their organization and applying the findings to real-world current business scenarios addressing the challenges associated with integrating AI into digital forensics and offering practical solutions. It also offers insights into the ethical use of AI technologies and guidance on navigating legal requirements and ensuring responsible and compliant practices.

This book caters to industry professionals from diverse backgrounds, including engineering, data science, computer science, law enforcement, and legal experts, fostering a holistic understanding of the subject along with providing practical insights and real-world examples.

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Yes, you can access Artificial Intelligence and Digital Forensics by Naveen Kumar Chaudhary,Archana Patel,Abinash Mishra,Chothmal Kumawat in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Forensic Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. About the Editors
  8. List of Contributors
  9. Chapter 1 Uses of Artificial Intelligence for Digital Forensics
  10. Chapter 2 Challenges in Integrating Artificial Intelligence into Digital Forensics
  11. Chapter 3 Towards Open Standards for Systemic Complexity in Digital Forensics
  12. Chapter 4 Identifying Patterns through Integration of Natural Language Processing and Semantic Web Technologies
  13. Chapter 5 Futuristic Approaches in Conversational AI for the Cloud Platform
  14. Chapter 6 Harnessing the Power of Artificial Intelligence to Enhance Digital Forensics
  15. Chapter 7 Analyzing Vast Datasets with Machine Learning
  16. Chapter 8 Artificial Intelligence and Forensic Intelligence: Analyzing Social Behavior through Historical Data
  17. Chapter 9 Identifying IOCs from Compromised Android Devices
  18. Chapter 10 Technology Tools for Legal System: Understanding the Gaps and Enhancing the Capacity of the Stakeholders
  19. Chapter 11 Future of Digital Forensics: Implications of Transparency and Accountability in Artificial Intelligence
  20. Chapter 12 Legal and Ethical Imperatives for Transparency
  21. Index