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Forensic Science

Digital evidence

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Displaying 1 - 25 of 97

Report on the May 2025 NIST Measurement Week: Realization of an OSAC draft Interim Performance Assessment for Terrestrial Laser Scanners Used by Law Enforcement Agencies

September 17, 2025
Author(s)
Balasubramanian Muralikrishnan, Katharine Shilling, Mary Gregg, Vincent Lee, Jason Keller, Erin Casey, Eugene Liscio, Bryon O'Neil, Mike Russ, Toby Terpstra
This report describes a terrestrial laser scanner (TLS) testing event, the NIST Measurement Week, held at the National Institute of Standards and Technology (NIST) during the week of May 12-16, 2025. The Crime Scene Investigation and Reconstruction (CSIR)

NIST Open Media Forensics Challenge (OpenMFC Briefing for IIRD)

January 27, 2025
Author(s)
Haiying Guan
The rapid advancement of artificial intelligence (AI) has led to the emergence of several technologies, including Generative Adversarial Networks (GANs), deepfakes, generative AI, CGI, and anti-forensics techniques. These technologies pose a significant

Cloud Test Data Creation and Population Document

June 7, 2023
Author(s)
Richard Ayers
This test data creation and population document provides an overview of data creation, population and documentation of artifacts created for cloud-based applications specified in Version 1 of Cloud & Remotely Stored Data Extraction (CDX) Using Account

Who Is That? Perceptual Expertise on Other-Race Face Comparisons, Disguised Face Comparisons, and Face Memory

April 20, 2023
Author(s)
Amy Yates, Jacqueline Cavazos, Geraldine Jeckeln, Ying Hu, Eilidh Noyes, Carina Hahn, Alice O'Toole, P. Jonathon Phillips
Forensic facial specialists identify faces more accurately than untrained participants on tests using high quality images of faces. Whether this superiority holds in more challenging conditions is not known. Here, we measured performance for forensic

Discovery of digital forensic dataset characteristics with CASE-Corpora

February 13, 2023
Author(s)
Alexander Nelson, Eoghan Casey
The digital forensics community has generated training and reference data over the course of decades. However, significant challenges persist today in the usage pipeline for that data, from research problem formulation, through discovery of applicable

OpenMFC 2022 Evaluation Program

January 3, 2023
Author(s)
Haiying Guan, Baptiste Chocot, Ilia Ghorbanian Bajgiran, Lukas Diduch, Yooyoung Lee, Christopher Tu

Report of the Digital Evidence Task Group Quality Study

December 15, 2022
Author(s)
Barbara Guttman, Kelly Sauerwein, James R. Lyle
The report describes the results of a project performed by a study group from the Organization of Scientific Area Committees (OSAC) for Forensic Science Digital Evidence Subcommittee to identify the quality practices and management systems that are most

Digital Investigation Techniques: A NIST Scientific Foundation Review

November 21, 2022
Author(s)
James R. Lyle, Barbara Guttman, John Butler, Kelly Sauerwein, Christina Reed, Corrine Lloyd
This document is an assessment of the scientific foundations of digital forensics. We examined descriptions of digital investigation techniques from peer-reviewed sources, academic and classroom materials, technical guidance from professional organizations

GLFF: Global and Local Feature Fusion for Face Forgery Detection

November 16, 2022
Author(s)

Haiying Guan, Yan Ju, Shan Jia, Jialing Cai, Siwei Lyu

With the rapid development of the deep generative models (such as Generative Adversarial Networks and Auto-encoders), AI-synthesized images of human face are now of such high qualities that humans can hardly distinguish them from pristine ones. Although

Discovery of digital forensic dataset characteristics with CASE-Corpora

July 11, 2022
Author(s)
Alexander Nelson
The digital forensics community has generated training and reference data over the course of decades. However, significant challenges persist today in the usage pipeline for that data, from research problem formulation, through discovery of applicable

Results from a Black-Box Study for Digital Examiners

February 17, 2022
Author(s)
Barbara Guttman, Mary T. Laamanen, Craig Russell, James Darnell, Chris Atha
The National Institute of Standards and Technology (NIST) conducted a black-box study in conjunction with a scientific foundation review documented in NISTIR 8354 – Digital Investigation Techniques: A NIST Scientific Foundation Review (initially released

Open Media Forensics Challenge (OpenMFC) 2020-2021: Past, Present, and Future

September 29, 2021
Author(s)
Haiying Guan, Yooyoung Lee, Lukas Diduch, Jesse Zhang, Ilia Ghorbanian Bajgiran, Timothee Kheyrkhah, Peter Fontana, Jonathan G. Fiscus
This document describes the online leaderboard public evaluation program, Open Media Forensics Challenge (OpenMFC) 2021-2022. In the report, first, the introduction, objectives, challenges, contributions, and achievements of the evaluation program are

Dataset construction challenges for digital forensics

July 29, 2021
Author(s)
James R. Lyle, Graeme Horsman
As the digital forensic field develops, taking steps towards ensuring a level of reliability in the processes implemented by its practitioners, emphasis on the need for effective testing has increased. In order to test, test datasets are required, but

User Guide for NIST Media Forensic Challenge (MFC) Datasets

July 6, 2021
Author(s)
Haiying Guan, Andrew Delgado, Yooyoung Lee, Amy Yates, Daniel Zhou, Timothee N. Kheyrkhah, Jonathan G. Fiscus
NIST released a set of Media Forensic Challenge (MFC) datasets developed in DARPA MediFor (Media Forensics) project to the public in the past 5 years. More than 300 individuals, 150 organizations, from 26 countries and regions worldwide use our datasets

Media Forensics Challenge Image Provenance Evaluation and State-of-the-Art Analysis on Large-Scale Benchmark Datasets

October 26, 2020
Author(s)
Xiongnan Jin, Yooyoung Lee, Jonathan G. Fiscus, Haiying Guan, Amy Yates, Andrew Delgado, Daniel F. Zhou
With the development of storage, transmission, editing, and sharing tools, digital forgery images are propagating rapidly. The need for image provenance analysis has never been more timely. Typical applications are content tracking, copyright enforcement
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