Encrypting images against deepfake scams has become a priority of digital security experts

Deepfake technology has been around for quite a long period of time, but its mainstream use has only boiled down to being used for scams and thefts. These deepfake scam videos garner massive amounts of views and sometimes possess the power to believe some ridiculous scheme or easy money-earning strategies. Social media and other entertainment forum users are easily attracted to these videos and images, but it certainly possesses danger in terms of tricking people into fraud or penetrating security defenses. But the rising number of deepfake scams has triggered researchers into encrypting images against deepfake tech. They believe that sorting out the source of videos and images used in deepfake tech scams can actually reduce and eventually eradicate these types of thefts.

Cybersecurity specialists claim that deep fakes could actually present a variety of national and international security challenges in the coming years. As these technologies advance, they could hold significant implications for businesses. Most crypto heists and bank frauds are being ensured by deep-faked clone voice technology. The use of deepfake tech is increasingly realistic and is quite cheaply available. Industry experts claim that emerging employees and executives should be ready to question the authenticity of video, image, audio, and news information, and constantly stay in touch with security professionals to avoid their data being used for deepfake scams. This is one of the major reasons why scientists believe that encoding images using deepfake scams might help curb these issues.

Will this new procedure ensure safety and security?

There are several through which we can understand and detect deepfake videos, including using depth detection, video regularity disruption, variations in monitor illumination, biometric traits, and even our own 6th sense! Encrypting images against deepfake scams only provides a more hostile and accurate way of ensuring that the unfriendly use of disruptive technologies stops. Back in 2021, the Nanjing University of Aeronautics and Astronautics introduced an initiative to encrypt training images in such a way that they would train effectively only on authorized systems, but it continued to fail dramatically when they were being used as source data in a generic image synthesis training pipeline.

The new technique majorly focuses on taking the architecture of the traditional concept and redefining them to make them more robust. Scientists need more proactive, encoding-based approaches, but it is not that easily available. Tracking the existence of such videos will require them to possess a bulk of social media interfaces, the power of a large number of upload processes, and also for effecting transformations in such augmentations.

Bottom Line

These deepfake videos can cause the eruption of several dangerous political conflicts, for instance, the deepfake of video of the Ukrainian President asking his soldiers to put their guns down and surrender to Russia. Western governments are in full force, trying to curb the existence of these videos and reduce scams.