This year, in a combined live and virtual format, we will bring together innovators, artists, thought leaders, collectors and more, for a series of panel discussions around NFTs in the morning session, followed by afternoon conversations on the way technology is impacting the way we create, experience, buy and sell art.
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Plugin W. But securing messages and calls is just one part of how we minimize the information we collect in the process of providing a global service. DIT formerly known as PrivateStats aims to further minimize any metadata tied to a specific person or phone number, and ultimately makes WhatsApp even more private. In order to provide a reliable network at our scale, we need to understand how our service is functioning.
To do this we need metrics such as whether messages are delivered and how many people are using various operating systems. DIT is built on a proprietary Anonymous Credential System ACS that is designed to authenticate data without our server ever learning where the information is gathered from. To date, we rely on data deletion and secure storage protocols to prevent usage information from being tied back to people, but we want to go even further with our privacy protection measures.
Combined with other techniques, we believe that DIT will eventually allow us to obtain usage, reliability, and performance data about our service in a de-identified, privacy-protective way—effectively making WhatsApp even more private. For example, we would be able to understand things like how many people have outdated operating system software or which version of WhatsApp they are running without knowing who those people are.
We could also understand if messages have been sent successfully without knowing who sent them. We began building these technologies in early and even as we are still testing it today, w e believe that the underlying techniques can be implemented into other products and use cases beyond messaging.
To facilitate that, below is a detailed overview of how DIT and the ACS work in their current form, so that the engineering community can benefit from these developments. More information can also be found in our whitepaper. To start, we have to explain what types of data can be gathered from a client.
This includes usage, performance, and reliability information such as app versions and whether or not a message was sent successfully. Although we collect a minimal amount of information in order to operate our service, and take steps to reduce access to it through secure storage and data deletion, performance, usage, and reliability metadata could ordinarily be associated with an individual in some way due to authentication requirements.
To ensure that we are doing this in a secure way, we have to enable this technology while simultaneously ensuring that only logging requests from legitimate WhatsApp clients are accepted. At a high level, DIT addresses this conundrum by splitting the logging workflow into two distinct steps. First, WhatsApp clients use an authenticated connection to the server to obtain an anonymous token also referred to as an anonymous credential in advance.
Then, whenever the clients need to upload logs, they send the anonymous token along with the logs in an unauthenticated connection to the server. The anonymous token serves as proof that the client is legitimate.
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