Computed·Blg

Via ITProPortal

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Forensic experts have long been able to match a series of prints to the hand that left them, or a bullet to the gun that fired it. Now, the same thing is being done with the photos taken by digital cameras, and is ushering in a new era of digital crime fighting.

New technology is now allowing law enforcement officers to search through any collection of images to help track down the identity of photo-taking criminals, such as smartphone thieves and child pornographers.

Investigations in the past have shown that a digital photo can be paired with the exact same camera that took it, due to the patterns of Sensor Pattern Noise (SPN) imprinted on the photos by the camera's sensor.

Since each pattern is idiosyncratic, this allows law enforcement to "fingerprint" any photos taken. And once the signature has been identified, the police can track the criminal across the Internet, through social media and anywhere else they've kept photos.

Researchers have grabbed photos from Facebook, Flickr, Tumblr, Google+, and personal blogs to see whether one individual image could be matched to a specific user's account.

In a paper entitled "On the usage of Sensor Pattern Noise for Picture-to-Identity linking through social network accounts", the team argues that "digital imaging devices have gained an important role in everyone's life, due to a continuously decreasing price, and of the growing interest on photo sharing through social networks"