Google Creating Cross-Industry Database to Combat Internet Child Porn David Murphy - PC Magazine
go to original June 17, 2013

Google is spearheading a new, shareable database that should make it easier for organizations to report and remove images of child sexual abuse from larger portions of the Web.

According to Google, the company's database will identify images by a process known as hashing – a method that breaks a picture down into specific components that can be identified regardless of the image's file type or resolution. In other words, the process helps to create a unique fingerprint that allows Google, or websites like Tineye, to identify similar images based on what they actually look like.

"Since 2008, we've used 'hashing' technology to tag known child sexual abuse images, allowing us to identify duplicate images which may exist elsewhere. Each offending image in effect gets a unique ID that our computers can recognize without humans having to view them again. Recently, we've started working to incorporate encrypted 'fingerprints' of child sexual abuse images into a cross-industry database. This will enable companies, law enforcement and charities to better collaborate on detecting and removing these images, and to take action against the criminals," reads a post on Google's official blog.

Read the rest at PC Magazine

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