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Decoy messaging provides air cover and does not introduce for whistleblowers


Mass decoy messaging between news agencies and readers can help protect the identity of whistleblowers, according to Dr. Manny Ahmed, the founder of the coverdrop, a whistleblower protection tool, and openorigins, a blockchain firm that provides data that has been proven for images and videos to ensure authenticity. Both tools work with symbiosis to ensure trustworthy communications.

In an interview with Cointelegraph, Dr. Ahmed that the coverdrop works by sending a large amount of decoy already -encrypt messaging The traffic between the readers of a news platform and the news platform itself.

Government, privacy, spying
Flow of messaging from the reader to the journalists. Source: Coverdrop white paper

It creates an illusion that every reader is a whistleblower, thus drowning the identity of any real whistleblowers in a sea of ​​digital noise. The Executive described the problem with whistleblowers currently facing the age of digital tracking:

“Whistleblowers are in a tricky position because, by definition, they are part of a small range with access to privileged information. Thus, even when they use end-to-end encryption, the fact that they have a conversation with a journalist is enough to be single.

It doesn’t matter that they can’t see the contents of the message; Just a one-on-one relationship, “Dr. Ahmed continued.

Government, privacy, spying
The protocol flow of the coverdrop system. Source: Coverdrop white paper

The founder of CoverDrop and Openorigins warns that AI promotion and data tracking tools is only Increase the threat to privacy And not identifying over time, creating a need for a stronger defenses against the emerging panopticon state of security monitoring.

Related: Vitalik introduces ‘pluralistic’ IDs to protect privacy in digital identity systems

The state of mass monitoring is supercharged: agent AI and the loss of anonymously

Mentioned by Dr. Ahmed mass Data collection of governments And intelligence agencies have been continuing for more than a decade but are largely ineffective as there is no good way to filter by the large volume of data collected.

“They have to hire thousands of analysts to sit and really target people; with AI you don’t have to do that,” the executive told cointelegraph.