IDIS Urges Video Tech Users to Guard Against Manipulation Techniques

To protect the integrity of video footage, IDIS created a technology that assigns a unique fingerprint to each video frame.

IDIS, a video technology manufacturer, warns that the growing concerns about deepfake videos will make it increasingly important to be able to prove the integrity of video evidence.

Quick advances in digital video manipulation techniques and a rise in alleged deepfake videos being reported in the news will put pressure on both video tech users and prosecutors to demonstrate the integrity of any footage they use, the company cautions. Deepfakes use a form of artificial intelligence called deep learning to digitally manipulate videos and create images of fake events.

“As we look ahead, wherever video is presented for use as legal evidence, or as part of internal disciplinary proceedings, we will see more attempts to assert that footage is not genuine. Courts will dismiss evidence where tampering cannot be ruled out,” says Dr. Peter Kim, Global Technical Consultant, IDIS. “Any challenge to the integrity of video evidence, if not countered, risks undermining the value of the entire video solution. This is particularly true in applications where investigating and prosecuting wrongdoing is a key function of the camera system. So, it will be vital that users can demonstrate beyond doubt that their footage has not been tampered with in any way.”

To combat deep-fakes, IDIS has created protection of video footage integrity through its patented Chained Fingerprint™ algorithm. IDIS recorders use Chained Fingerprint to uphold the integrity of the recorded and exported video data. Each frame is assigned a unique fingerprint which is calculated by relating its own pixel value to the fingerprint of the previous frame — meaning each frame is linked by an encryption ‘chain’ with its neighboring image frames.

The encrypted chain is stored as part of the video data when the video is recorded or exported as a video clip using the IDIS ClipPlayer, says the company. Before playback, the ClipPlayer scans video and recalculates the fingerprint chains of the video data. If any part of the image frame is tampered with, the fingerprint chain will be broken and will not match the chain value calculated at the time of video export.

“As organizations look to upgrade or invest in new video solutions, protecting themselves against claims of video evidence tampering should be high on their priority list,” Kim adds.

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