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Cyber Forensics and Investigation on Smart Devices
This book offers comprehensive insights into digital forensics, guiding readers through analysis methods and security assessments. Expert contributors cover a range of forensic investigations on computer devices, making it an essential resource for professionals, scholars, and students alike.
Chapter 1 explores smart home forensics, detailing IoT forensic analysis and examination of different smart home devices. Chapter 2 provides an extensive guide to digital forensics, covering its origin, objectives, tools, challenges, and legal considerations. Chapter 3 focuses on cyber forensics, including secure chat application values and experimentation. Chapter 4 delves into browser analysis and exploitation techniques, while Chapter 5 discusses data recovery from water-damaged Android phones with methods and case studies. Finally, Chapter 6 presents a machine learning approach for detecting ransomware threats in healthcare systems.
With a reader-friendly format and practical case studies, this book equips readers with essential knowledge for cybersecurity services and operations.
Key
-Integrates research from various fields (IoT, Big Data, AI, and Blockchain) to explain smart device security.
-Uncovers innovative features of cyber forensics and smart devices.
-Harmonizes theoretical and practical aspects of cybersecurity.
-Includes chapter summaries and key concepts for easy revision.
-Offers references for further study.
Chapter 1 explores smart home forensics, detailing IoT forensic analysis and examination of different smart home devices. Chapter 2 provides an extensive guide to digital forensics, covering its origin, objectives, tools, challenges, and legal considerations. Chapter 3 focuses on cyber forensics, including secure chat application values and experimentation. Chapter 4 delves into browser analysis and exploitation techniques, while Chapter 5 discusses data recovery from water-damaged Android phones with methods and case studies. Finally, Chapter 6 presents a machine learning approach for detecting ransomware threats in healthcare systems.
With a reader-friendly format and practical case studies, this book equips readers with essential knowledge for cybersecurity services and operations.
Key
-Integrates research from various fields (IoT, Big Data, AI, and Blockchain) to explain smart device security.
-Uncovers innovative features of cyber forensics and smart devices.
-Harmonizes theoretical and practical aspects of cybersecurity.
-Includes chapter summaries and key concepts for easy revision.
-Offers references for further study.
150 pages, Hardcover
Published June 6, 2024
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