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Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges | N.K. Chaudhary | 1st Edition, 2026 | Taylor & Francis Group (English)
|
| 10730-10730 |
Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges is a comprehensive book that delves into the intersection of artificial intelligence (AI) and digital forensics. Authored by N.K. Chaudhary, this 1st edition published in 2026 by Taylor & Francis Group provides a detailed exploration of how AI technologies are transforming the field of digital forensics. The book begins by providing an overview of artificial intelligence and its various applications in the realm of digital forensics. It discusses how AI algorithms can be used to analyze large volumes of digital data, identify patterns, and extract valuable insights that can aid in investigations. The author also highlights the challenges and ethical considerations associated with the use of AI in forensic investigations. Throughout the book, readers will find case studies and real-world examples that demonstrate the practical applications of AI in digital forensics. From image and video analysis to text mining and social media monitoring, the book covers a wide range of topics that showcase how AI is revolutionizing the way digital evidence is collected, analyzed, and presented in court. In addition to discussing advancements in AI technology, the book also addresses key issues related to cybersecurity and privacy. Readers will learn about the latest trends in cybercrime, including ransomware attacks, data breaches, and online fraud schemes. The author provides insights into how AI can be used to enhance cybersecurity measures and protect sensitive information from malicious actors. Overall, Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges offers a comprehensive look at how AI is reshaping the field of digital forensics. Whether you are a student studying computer science or a professional working in law enforcement or cybersecurity, this book provides valuable insights into the future of forensic investigations.
Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges and Solutions (2026) is an advanced interdisciplinary textbook written by N.K. Chaudhary and published by Taylor & Francis Group. This book explores the convergence of artificial intelligence and digital forensic science, highlighting how modern technologies are transforming cyber investigation, security analysis, and evidence handling.
With the rapid rise of cybercrime and digital data usage, traditional forensic methods are no longer sufficient. This book explains how AI-driven tools and techniques are revolutionizing digital investigations by improving speed, accuracy, and automation in evidence analysis.
The content covers the integration of machine learning, deep learning, and data analytics in digital forensics. It explains how AI is used to detect cyber threats, analyze digital footprints, and reconstruct criminal activities from electronic evidence.
Key topics covered include:
- Fundamentals of digital forensics and cyber investigations
- AI applications in cybercrime detection and prevention
- Machine learning for pattern recognition in forensic data
- Automated evidence collection and analysis techniques
- Network forensics and intrusion detection systems
- Challenges in digital evidence integrity and authentication
- Ethical, legal, and privacy issues in AI-based forensics
- Future trends in intelligent forensic systems
A major strength of this book is its practical and problem-solving approach, which connects theoretical AI concepts with real-world forensic applications. It also highlights the limitations and risks of AI in legal investigations, ensuring a balanced and critical perspective.
This 1st edition includes the latest developments in AI-based cybersecurity tools, blockchain forensics, and cloud forensic technologies. It also discusses real-world case studies where AI has played a key role in solving complex cybercrimes.
The book is especially useful for:
- Cybersecurity professionals and digital forensic analysts
- Computer science and AI researchers
- Law enforcement agencies and investigators
- IT security professionals
- Students in computer science, cybersecurity, and forensic science
With 256 pages of structured and advanced content, this hardbound edition serves as a comprehensive guide to understanding how artificial intelligence is reshaping digital forensic science.
| SKU / BOOK Code: | TFR-AI-FORENSICS-CHAUDHARY-202 |
| Publisher: | Taylor & Francis Group |
| Author: | Chaudhary N K |
| Binding Type: | Hardcover |
| No. of Pages: | 256 |
| ISBN-10: | NA |
| ISBN-13: | NA |
| Edition: | 1st |
| Language: | English Medium |
| Publish Year: | 2026-01 |
| Weight (g): | 300 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Medical Books |
| Manufacturer: | Taylor & Francis Group |
| Importer: | Taylor & Francis Group |
| Packer: | Fullfilled by Supplier |
Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges is a comprehensive book that delves into the intersection of artificial intelligence (AI) and digital forensics. Authored by N.K. Chaudhary, this 1st edition published in 2026 by Taylor & Francis Group provides a detailed exploration of how AI technologies are transforming the field of digital forensics. The book begins by providing an overview of artificial intelligence and its various applications in the realm of digital forensics. It discusses how AI algorithms can be used to analyze large volumes of digital data, identify patterns, and extract valuable insights that can aid in investigations. The author also highlights the challenges and ethical considerations associated with the use of AI in forensic investigations. Throughout the book, readers will find case studies and real-world examples that demonstrate the practical applications of AI in digital forensics. From image and video analysis to text mining and social media monitoring, the book covers a wide range of topics that showcase how AI is revolutionizing the way digital evidence is collected, analyzed, and presented in court. In addition to discussing advancements in AI technology, the book also addresses key issues related to cybersecurity and privacy. Readers will learn about the latest trends in cybercrime, including ransomware attacks, data breaches, and online fraud schemes. The author provides insights into how AI can be used to enhance cybersecurity measures and protect sensitive information from malicious actors. Overall, Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges offers a comprehensive look at how AI is reshaping the field of digital forensics. Whether you are a student studying computer science or a professional working in law enforcement or cybersecurity, this book provides valuable insights into the future of forensic investigations.
Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges and Solutions (2026) is an advanced interdisciplinary textbook written by N.K. Chaudhary and published by Taylor & Francis Group. This book explores the convergence of artificial intelligence and digital forensic science, highlighting how modern technologies are transforming cyber investigation, security analysis, and evidence handling.
With the rapid rise of cybercrime and digital data usage, traditional forensic methods are no longer sufficient. This book explains how AI-driven tools and techniques are revolutionizing digital investigations by improving speed, accuracy, and automation in evidence analysis.
The content covers the integration of machine learning, deep learning, and data analytics in digital forensics. It explains how AI is used to detect cyber threats, analyze digital footprints, and reconstruct criminal activities from electronic evidence.
Key topics covered include:
- Fundamentals of digital forensics and cyber investigations
- AI applications in cybercrime detection and prevention
- Machine learning for pattern recognition in forensic data
- Automated evidence collection and analysis techniques
- Network forensics and intrusion detection systems
- Challenges in digital evidence integrity and authentication
- Ethical, legal, and privacy issues in AI-based forensics
- Future trends in intelligent forensic systems
A major strength of this book is its practical and problem-solving approach, which connects theoretical AI concepts with real-world forensic applications. It also highlights the limitations and risks of AI in legal investigations, ensuring a balanced and critical perspective.
This 1st edition includes the latest developments in AI-based cybersecurity tools, blockchain forensics, and cloud forensic technologies. It also discusses real-world case studies where AI has played a key role in solving complex cybercrimes.
The book is especially useful for:
- Cybersecurity professionals and digital forensic analysts
- Computer science and AI researchers
- Law enforcement agencies and investigators
- IT security professionals
- Students in computer science, cybersecurity, and forensic science
With 256 pages of structured and advanced content, this hardbound edition serves as a comprehensive guide to understanding how artificial intelligence is reshaping digital forensic science.
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