Justice Information Sharing

This presentation will review emerging trends related to check fraud, mitigation and prevention tools that financial institutions can utilize, and how law enforcement can collaborate in this process to identify instances of check fraud.

Presented by:
Lloyd McIntyre, FDIC-Examination Specialist (Fraud)

NW3C does not share attendees personally identifiable information with any third party without opt in consent given during registration.

The content, views, and opinions expressed in this presentation are those of the individual presenters and do not represent official policy, opinions, or views of NW3C.

This course provides an overview of the actions investigators can take at the outset of a financial crime investigation. Students learn to ask critical questions, gather documentation, and analyze information for leads. Topics include obtaining and working with financial records, red flags in financial cases, money laundering, investigative strategies for different types of financial crimes, and commingled funds.

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 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 webinar will demonstrate the use of iCatch, the iOS Cache Analysis for Tracking Coordinates History tool, which is used to analyze and map location data from iOS Cache.sqlite database. The presentation will discuss the forensic artifacts that can be found in the Cache.sqlite database, how to use the iCatch tool to analyze artifacts from the database, and how to effectively view and present the mapped data in Google Earth.

Presented by:
Aaron Willmarth

NW3C does not share webinar attendees personally identifiable information with any third party without opt-in consent given during registration.

The content, views, and opinions expressed in this presentation are those of the individual presenters and do not represent official policy, opinions, or view of NW3C.

This course provides an overview of the actions investigators can take at the outset of a financial crime investigation. Students learn to ask critical questions, gather documentation, and analyze information for leads. Topics include obtaining and working with financial records, red flags in financial cases, money laundering, investigative strategies for different types of financial crimes, and commingled funds.

This course provides an overview of the actions investigators can take at the outset of a financial crime investigation. Students learn to ask critical questions, gather documentation, and analyze information for leads. Topics include obtaining and working with financial records, red flags in financial cases, money laundering, investigative strategies for different types of financial crimes, and commingled funds.

This course provides an overview of the actions investigators can take at the outset of a financial crime investigation. Students learn to ask critical questions, gather documentation, and analyze information for leads. Topics include obtaining and working with financial records, red flags in financial cases, money laundering, investigative strategies for different types of financial crimes, and commingled funds.

This course prepares students to identify various artifacts typically located in property lists and SQLite databases on MacOS-based computers, as well as learn how to perform forensic analysis. Students gain hands-on practical experience writing basic SQL queries and using to analyze operating system artifacts that includes, but is not limited to, user login passwords, FaceTime, messages, mail, contacts, calendars, reminders, notes, photos, Safari, Google Chrome, and Mozilla Firefox.

Mobile devices dominate the intake list, and the desks of most digital forensics analyst globally. Devices are becoming more secure, with an increase in security the need for detailed analysis is increasing as well. SQLite is a self-contained, serverless database engine. It is found on nearly every operating system and dominates iOS, Android, and macOS as one of the most prevalent and relevant data storage mechanisms. Rather than hope our forensic tools support the newest applications or be tethered to how a certain utility parses data we can arm ourselves with the skills and techniques needed to conquer the analysis of nearly any application.

What is SQLite and how to identify and analyze logically
Recognizing relevant locations of valuable data within SQLite database.
Develop skills needed for crafting custom SQLite queries.
Learn how to recognize and decode a variety of common timestamp formats.
Learn how to perform SQLite analysis with automation.