Juvenile Justice Agencies

    FC201 Financial Records Investigative Skills

    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.

    Cyber Threats to Public Safety: Part 1

    In today's cyber threat environment, attackers and defenders are constantly trying to outmaneuver each other and the stakes are higher than ever, particularly for mission-critical systems and communications. Understanding the methods and motivations of threat actors is crucial to developing a proactive program to defend against and prevent future attacks. In part one of our four part webinar series, we will introduce our insights and analysis of the most significant and impactful cyber threats facing public safety organizations. In our review of the 2022 landscape, we will breakdown the drivers of the threat actors seeking to profit or cripple mission critical systems, while introducing how we seek to combat these threats with collaboration and intelligence sharing through the Public Safety Threat Alliance (PSTA). We will also share details about the PSTAs free membership for public safety agencies, and how they can join this critical information sharing community today and begin improving their cybersecurity posture against cyber threats to their critical systems.

    Deep Dive into the Networking of the Internet of Things (IoT)

    By the year 2025, it is expected that there will be over 45 billion connected devices around the world that is 9.27 connected devices per person. The Internet of Things (IoT) utilizes a variety of communication standards and a unique set of networking protocols to connect these devices. This webinar will explore these unique IoT networking protocols along with their varied IoT topography and explain IoT network interrogation techniques to be used in an investigation. Topics will include, connectivity communication options and a review of some of the more commonly located "Mesh" Personal Area Networks (PAN) and Home Local Area Networks (HAN), such as Matter, Thread, Z wave, and Zigbee that may be encountered during an investigation.

    DF320 Advanced Digital Forensic Analysis: macOS

    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.

    DF205 Intermediate Digital Forensic Analysis: SQLite Primer

    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.

    CI240 Intermediate Cyber Investigations: Virtual Currency

    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.

    IA105 Intelligence Writing and Briefing

    This course covers basic intelligence writing and briefing principles as well as methods for effective and clear intelligence sharing. Topics covered include creative and critical thinking, critical reading skills, source evaluation, privacy and civil rights, intelligence writing style and structure, and generating and presenting intelligence briefings. With guidance from experienced experts, students gain hands-on experience by working through data sets based on real cases to produce intelligence products. Instructors and peers provide feedback on briefings and reports produced and presented in class.

    *Foundational skills. Creative thinking. Critical thinking. Critical reading.
    *Information sources. Identify sources of intelligence information. Evaluate sources for validity and reliability.
    *Analytical reports. Develop a structured and actionable analytical report based on a data set given in class.
    *Privacy considerations. Ensure protection of privacy and civil rights while producing intelligence products.
    *Briefings. Construct and deliver an intelligence briefing based on a data set given in class.

    DF320 Advanced Digital Forensic Analysis: macOS

    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.

    FC105 Financial Records Examination and Analysis

    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.

    IA300 Advanced Criminal Intelligence: Tradecraft and Analysis

    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.

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