Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
2360 The University of Texas at San Antonio (144248)
Principal Investigator: Choo,Kim-Kwang
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 250,000
Exceeds $250,000 (Is it flagged?): Yes
Start and End Dates: 8/1/22 - 6/30/24
Restricted Research: YES
Academic Discipline: none
Department, Center, School, or Institute: CYBER SECURITY ANALYTICS
Title of Contract, Award, or Gift: ABH-13180 A Machine Learning-Based Approach to Analyzing and Triaging Encrypted Data Containers in Law Enforcement applications
Name of Granting or Contracting Agency/Entity:
George Mason University
CFDA Link: DHS
97.061
Program Title:
none
CFDA Linked: Centers for Homeland Security
Note:
SAMs 1.1.1 This research seeks to improve investigative capability in cases involving child sexual abuse materials (CSAM), by providing U.S. DHS and other law enforcement agencies with a machine learning model for detection, analyzing and triaging encrypted data containers, without the need to first decrypt the content, to build probable cause for a court order to unlock the device when the probable cause has been established. The machine learning model will utilize deep neural fuzzy classification techniques that provide a certainty rate for similarities between contents, based on their file types. Such a model will facilitate the investigation of CSAM, and is designed to complement existing systems such as Microsoft's PhotoDNA and Child Exploitation Tracking System.
Discussion: No discussion notes