A forensic event network visualizes a crime scene through digital forensics information obtained by monitoring and analyzing traffic at the time of the event, logs from the event, legal evidence, or possible intrusions detected in the system.

Key aspects of digital forensics are use of scientific methods, collection, preservation, validation, identification, analysis, interpretation, and documentation.

In developing the workforce, we propose as our first task to analyze and develop pathways for motivating, recruiting, training, and maintaining minority and underrepresented students to aspire to government service, especially in digital forensics, cybersecurity and STEM areas.

The project timeline is divided into 5 phases with most of the exploration and design stages done in Years 1 and 2, and development of prototypes and software codebases in the form of modules will be done in the remaining phases.