Justice Information Sharing

This course is designed specifically for law enforcement officers and investigators, providing the tools and knowledge needed to combat the growing threat of technology facilitated scams targeting older adults. Participants will learn to identify and investigate various digital fraud tactics, from tech support scams to government imposter fraud, and artificial intelligence schemes. The course covers the latest technology and platforms used by criminals, as well as effective techniques for tracing, reporting, and prosecuting these crimes while approaching victims with care. By the end, law enforcement professionals will be better equipped to protect vulnerable seniors and disrupt digital fraud networks in their communities.

Key concepts covered in this course include:
Technology Facilitated Scams
Scam Strategies
Perpetrator Tactics
Interview Techniques
Public and Private Resources

This course introduces analysts to the broader concepts of connecting the dots through link analysis. A critical portion of conducting a successful analytical investigation is the ability to link together and understand the complexities of the connectedness between people and organizations. Introduction to Link Analysis (ILA) expands on the basic principles of link and association analyses explored in the Foundations of Intelligence Analysis Training (FIAT) while building a framework for more advanced methods such as social network analysis.

Expanding basic knowledge of link and association analysis
Explaining the process of social network analysis
Understanding the visual mapping and mathematical components associated with link and social network analyses

This course builds on the concepts introduced in FC101 (FIPS) and FC105 (FREA), introducing investigators and prosecutors to emerging issues in financial crime. Topics include money laundering, analyzing large financial data sets, conducting effective interviews, and managing large amounts of financial evidence. This course consists of a mix of lecture, discussion, and hands-on exercises. Students conduct a mock investigation that includes interviews, data analysis, and the examination of various documents.

*Money laundering. Methods of laundering money. Tracing illegal funds. Emerging issues. FinCEN.
*Spreadsheeting skills. Spreadsheet architecture. Formulas and calculations. Pivot tables.
*Working with financial data. Benfords law analysis. Disentangling commingled funds.
*Hands-on experience. Work a mock financial case as part of an investigative team.

This course provides the advanced skills and knowledge necessary to analyze data on iOS devices (iPod Touch, iPhone, and iPad) and Android devices at an advanced level. Students use forensically-sound tools and techniques to analyze potential evidence, employing advanced techniques to uncover evidence potentially missed or misrepresented by commercial forensic tools. Topics include identifying potential threats to data stored on devices, available acquisition options, accessing locked devices, and the default folder structure. Core skills include analyzing artifacts such as device information, call history, voicemail, messages, web browser history, contacts, and photos. Instruction is provided on developing the hunt methodology for analyzing third party applications not supported by commercial forensic tools.

Mobile device hardware fundamentals. How mobile devices work, store data, and interact with a variety of networks.
Device handling. Properly preserving data for imaging and analysis. Identifying potential threats to data integrity.
Device acquisition and security. Acquisition options (physical, logical, device backups). Bypassing passcodes and properly defeating encrypted backups of iOS devices.
Advanced analysis techniques. Mounting images, partitioning scheme and default folder structure, types of artifacts (plists, SQLite databases, etc.).