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Date Published
Decoding Time: Leveraging Timestamps in Digital Forensic Investigations
August 21, 2024
In the field of digital forensics, time is not just a concept but a critical piece of evidence that, when decoded correctly, can reveal the hidden stories behind digital activities. They are essential in investigations to establish a chronology, validate data and build a narrative.
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Shifting Perspectives in the Drug War: Identifying Patterns with AI
July 23, 2024
For decades, investigators tackled the scourge of drugs on the streets, chasing down leads on individual suspects one at a time. This person-centered approach—while crucial—has limitations. It is reactive, labor-intensive and often struggles to keep pace with the evolving tactics of drug traffickers.
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The Proliferation of Video Evidence and the Importance of Proper Handling
July 10, 2024
In today’s interconnected world, nearly everyone is captured on some kind of video during their daily routines. Whether it’s through the lens of a surveillance camera, a smartphone, or a dashboard camera, the omnipresence of recording devices has had a huge impact on investigations. When it comes to identifying evidence from a crime or accident scene, it is important to consider all possible sources from which the incident might have been visually captured.
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New DNA Techniques Helps Nab Convicted Rapist
July 03, 2024
New DNA technology has helped Detectives in the United Kingdom solve the rape of a 14-year old in 2006 in Bedford, pinpointing a convicted rapist currently serving jail time for a separate rape as the suspect.
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Fake or Real? Detecting AI Images from a Forensic Lens
June 14, 2024
When explicit deepfakes of Taylor Swift flooded the internet, it was a stunning and eye-opening moment. If the biggest popstar in the world can be a victim of sexual exploitation, any of us can. The social ramifications of generative AI used for horrible acts are already here – now society must come to grips with it and lawmakers must act quickly.
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Forensic Image Processing
May 28, 2024
Forensic image processing (FIP) involves the computer restoration and enhancement of surveillance imagery. The goal of FIP is to maximize information extraction from surveillance imagery, especially imagery that is noisy, incomplete, or over/under exposed. Although this definition is with respect to surveillance imagery, FIP techniques can be applied to other types of images, such as retinal images, shoe impression images, UAV (unmanned aerial vehicle) infrared images, and more.
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Identifying Deepfake Images from a Forensic Lens
May 14, 2024
When law enforcement locates an explicit image as part of an investigation, there is no longer a guarantee the image is real. There’s a real and growing possibility it is an AI-generated deepfake image and we are in the very beginning stages as a society for how this will all play out.
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