Interpreting Forensic Evidence with Statisticsby Michelle Dotzert, PhDBuilding statistical resources to support forensic examiners
NewsHow Repeated Questions Could Put You at Risk of Cyber Crimeby University of East AngliaWhen asked the same question twice people tend to disclose more information the second time
News‘Ineffective’ Organization of Digital Forensics Slowing Down Investigationsby University of ExeterThe Case Prioritization Matrix is not compatible with the needs of the criminal justice system
NewsA Tool Capable of Tracking Cybercrime Financial Transactions in Bitcoinby IMDEA Software InstituteThe new tool allows users to track Bitcoin transactions in a transparent way, allowing for corroboration
NewsRecent Research Analyzes Complex Criminal Networks with New Statistical Toolsby Bocconi UniversityNovel statistical models allow researchers to group together criminals with similar connectivity patterns
NewsAutomatic Speaker Recognition Technology Outperforms Human Listenersby Aston UniversityResearchers have compared speaker identification by listeners with the output of a forensic-voice-comparison system
NewsSoftware Shows Improvement in Recognizing Masked Facesby National Institute of Standards and TechnologyLatest NIST test is the first to measure performance of software submitted after pandemic’s arrival
NewsRecognizing Fake Images Using Frequency Analysisby Ruhr-University BochumMethod exposes fake images that have been created by computer algorithms rather than humans
NewsTesting the Accuracy of Computer and Mobile Phone Forensicsby National Institute of Standards and TechnologyNIST will conduct the first large-scale study to measure how well digital forensics experts do their jobs
NewsNational Center for Forensic Science Wins Federal Renewalby Iowa State UniversityThe National Institute of Standards and Technology has renewed support for the Center for Statistics and Applications in Forensic Evidence for another five years
NewsOutsmarting Deep Fakes: AI-Driven Imaging System Protects Authenticityby New York University Tandon School of EngineeringResearchers implant 'digital watermarks' using a neural network to easily spot manipulated photos and video