Advancements in Cyber Crime Investigations and Modern Data Analytics [Hardcover]

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.?

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 l“¹