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Technologies to advance automation in forensic science and criminal investigation / Chung-Hao Chen, Wen-Chao Yang, and Lijia Chen, editors.
- Format:
- Book
- Author/Creator:
- Chen, Chung-Hao, 1974- author.
- Series:
- Advances in digital crime, forensics, and cyber terrorism (ADCFCT) book series.
- Advances in Digital Crime, Forensics, and Cyber Terrorism (ADCFCT) Book Series
- Language:
- English
- Subjects (All):
- Criminal investigation--Technological aspects.
- Criminal investigation.
- Electronics in criminal investigation.
- Electronic evidence.
- Physical Description:
- 20 PDFs (289 pages)
- Place of Publication:
- Hershey, PA : IGI Global, [2021]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book is focused on technologies to advance automation in forensic science and criminal investigation, including digital evidence and computer technology, photoelectronics, jurisprudence, behavioral science, linguistics, Forensic digital multimedia authentication and origin, cyber security, video surveillance system and technologies used in modern forensics"
- Contents:
- Chapter 1. Advances in forensic geochemistry
- Chapter 2. Advances in forensic geophysics: magnetic susceptibility as a tool for environmental forensic geophysics
- Chapter 3. Advances in forensic sedimentology
- Chapter 4. Advances of forensic remote sensing applications in the face of transnational organized crime and terrorism
- Chapter 5. Cross-layer learning: a deep learning-based forensic framework for IoT systems
- Chapter 6. Fire investigation and ignitable liquid residue analysis
- Chapter 7. Large feature mining with ensemble learning for image forgery detection
- Chapter 8. Forensic camera identification in social networks via camera fingerprint
- Chapter 9. Vehicle license plate recognition with deep learning
- Chapter 10. Leveraging machine learning in financial fraud forensics in the age of cybersecurity.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 1-7998-8388-4
- 1-7998-8389-2
- OCLC:
- 1283857136
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