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Full Description
This book presents a fresh perspective on combating cyber crime, showcasing innovative solutions from experts across various fields. With the integration of artificial intelligence (AI), contemporary challenges are addressed with state-of-the-art strategies. The book discusses a wide range of timely issues within the domain of cyber crime and investigation, emphasizing AI-driven solutions and future multidisciplinary perspectives. As data becomes central to all digital interactions, it also becomes increasingly vulnerable, making it a prime target for adversaries. This comprehensive volume compiles technical approaches to counter, investigate, and manage these complex avenues of misconduct under the umbrella of "Cyber Crime".
Key Topics:
LLMs as a Solution for SARs Triaging
Technical Capacities to Counter CSAM
A Journey of Mobile Forensic Investigation
Digital Forensics Solving Financial Crimes
Deepfake-Driven Financial Crimes and Countermeasures
This book offers a thorough examination of the current landscape of cyber crime, the capabilities available to combat it, and the advanced measures required to stay ahead. A detailed roadmap of digital forensics, the science of decrypting cyber crime, is a key highlight, alongside an exploration of the rising capabilities of AI. We extend our gratitude to all the contributors and hope this book answers many questions while igniting curiosity and providing a stimulating intellectual experience.
Contents
About the Editors. List of Contributors. Acknowledgements. 1. Introduction to Cybercrime Investigation: A Modern Approach. 2. Privacy-based Triage of Suspicious Activity Report using Offline Large Language Models. 3. A Comprehensive Survey of Technological Approaches in the Detection of CSAM. 4. Advanced Mobile Forensics - Beyond Tool Automation. 5. Digital Forensics: Extracting Information from Devices. 6. Data Driven Forensics Unveiling Hidden Depths of Financial Crimes. 7. Unmasking the Threat: A Viewpoint on AI-based Deepfake Financial Crimes. 8. Machine Learning in AI in Cyber Crime Detection.
