Training

This course is for officers, investigators, and analysts who encounter cell phone evidence that includes information external to the phone. Class concepts include instruction on how to request, read, and analyze call detail records from cellular providers; and how to plot cellular site locations to determine the approximate position of a suspect during a given period. No special hardware or software is required. However, this course focuses heavily on analysis; as such, a strong working knowledge of Microsoft Excel is highly recommended. Students are provided with a free copy of NW3Cs PerpHound tool, which assists in the plotting of call detail record locations.

*Cellular technology. Land-line and cellular networks. Types and generations of cell phones. Cell site design and its implications for law enforcement.
*Analysis of call detail records. Request information from service providers. Convert records into a useful format. *Merge two related spreadsheets. Read and analyze using filters, sorting, and pivot tables. Plot location information.
*Hands-on experience. Hands-on experience with NW3Cs free software tool PerpHound and Microsoft Excel to analyze various types of records that are available from cellular providers.

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.).

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 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.

Join a team of experts from NW3C as they provide thoughtful and detailed answers to the intelligence analysis questions you submit. Submit questions regarding intelligence analysis skills, information collection, or general comments of analytic tradecraft and a panel of NW3C experts will provide answers during this live session.

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 provides students with the fundamental knowledge and skills they need to investigate crimes involving virtual currency. Instructors explain foundational concepts like the characteristics of money, virtual currency, and cryptocurrency. Blockchain technology, proof work, and proof of stake are covered; and students learn how industry-leading cryptocurrencies (Bitcoin, Ethereum, and Monero) work and how they differ from each other. Finally, students learn investigative techniques for tracking and documenting transactions; and best practices for seizing and securing cryptocurrency.

*Virtual currency basics. History of money and of virtual currency. Categorizing virtual currency.
*Blockchain. History of the blockchain. Understanding different protocols.
*Cryptocurrencies in detail. Bitcoin, Ethereum, Monero and other privacy coins.
*Investigative techniques. Seizing virtual currency; tracking transactions through the blockchain; documenting investigative results.

This three-day course is dedicated to studying the fundamentals of quantitative and qualitative data analysis and how to formulate arguments in support of criminal investigations and intelligence. Students will learn about data management techniques and a disciplined process to clean and standardize data in preparation for analysis. The course will also explore several common investigative objectives, including the discovery of associations between people and entities, the correlation between unlawful activity and suspects, behavioral affinities, and predictions. The course will introduce the Enterprise Theory of Crime and how to use network analysis to formulate conclusions about the structure of criminal organizations, their players and roles, the identification of facilitators, charting of financial arrangements, and connections to unlawful activity. The course enables the production of valuable, accurate, and efficient logical inferences produced by collecting data related to unlawful activity.

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 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.