Prosecutors

This course covers the acquisition, examination, and analysis of many types of financial records, including bank statements and checks, wire transfer records, and business records. Topics include recognizing and investigating common indicators of fraud, using spreadsheets to facilitate analysis and pattern recognition, and financial profiling. There is a strong focus on presenting financial evidence in multiple modalities: spreadsheet data outputs, graphic representations, and written/oral presentations.

*Introduction to analysis. Best practices. Finding patterns. Indicators of fraud. Presenting your findings.
*Financial records. Bank records. Business documents.
*Financial profiling. Methods of profiling. Reasons to create a profile. Creating a profile.
*Hands-on experience. Work a mock financial case as part of an investigative team.

This course addresses the critical need for well-trained intelligence analysts to interpret growing amounts of information. Topics include the intelligence cycle, analytical thinking skills, the importance of strategic analysis, communication and social media analysis, recommendation development, and legal and ethical issues. Students work hands-on with specialized software to synthesize information and develop various products of intelligence. The course was developed by a consortium that included NW3C, Law Enforcement Intelligence Units (LEIU), the International Association of Law Enforcement Intelligence Analysis (IALEIA), and the Regional Information Sharing System (RISS).

*Analysis basics. History and purpose of intelligence analysis. Legal issues and ethics. Sources of information. The intelligence cycle.
*Types of analysis. Crime patterns. Associations. Flow. Communications. Financial analysis.
*Creative and critical thinking. Brainstorming. Mind mapping. Steps to critical thinking.
*Deterring crime. Strategic analysis as a tool for law enforcement personnel.
*Hands-on experience. Work as part of a team to analyze information pertaining to several hypothetical cases.

This course introduces learners to the concept of digital footprints and best practices in protecting personally identifiable information (PII). Topics include limiting an individuals digital footprint, protecting privacy on social media, and the consequences of oversharing personal information; as well as steps to take after becoming a target of doxing.

*Current landscape. Emerging technology and trends that can aid criminals in the commission of identity theft, credit card theft, child exploitation, and production of counterfeit documents.
*Personally identifiable information (PII). Learn what PII is, why it can threaten individuals safety, and the scams and exploits criminals use to obtain it.
*Minimizing your digital footprint. Learn how and why you should remove PII, and how to find where information may be located. Instructors demonstrate how to secure digital devices and request removal of data from a website.
*Social media. Use security and privacy settings to control the amount of available information on multiple platforms.
*Resources. Identify resources that can help victims of identity theft, doxing, and other related crimes.

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.).