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This tag is associated with 4 posts

Industry Roundup: Image Recognition And Categorization

by Christa Miller, Forensic Focus The need for image recognition and categorization has never been more in demand thanks to the spread of extremist propaganda, child sexual abuse material (CSAM), and other illicit activity across the internet. Because of the sheer amount of material online, investigators assigned to these kinds of cases need ways to … Continue reading

Evaluating Automated Facial Age Estimation Techniques For Digital Forensics

by Felix Anda, David Lillis, Nhien-An Le-Khac & Mark Scanlon Abstract In today’s world, closed circuit television, cellphone photographs and videos, open-source intelligence (i.e., social media/web data mining), and other sources of photographic evidence are commonly used by police forces to identify suspects and victims of both online and offline crimes. Human characteristics, such as … Continue reading

Classifying Illegal Activities On Tor Network Based On Web Textual Contents

by Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre & Ivan de Paz; Department of Electrical, Systems and Automation, University of Leon, Spain & INCIBE Spanish National Cybersecurity Institute Abstract The freedom of the Deep Web offers a safe place where people can express themselves anonymously but they also can conduct illegal activities. In this paper, we … Continue reading

The Investigative Challenges Of Live Streamed Child Abuse

Among the challenges facing digital forensic investigators today, the instantaneous nature of online communication is arguably one of the most persistent. Trying to investigate whether a crime has occurred, and if so to bring its perpetrators to justice in a space that is constantly changing, is no simple task. With the Apple App Store alone … Continue reading

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