DePIN Data Verification: A Challenge With no Silver Bullets

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DePIN Data Verification: A Challenge With no Silver Bullets
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Leonard Dorlöchter is the co-founder of peaq, the layer-1 blockchain for DePIN and Machine RWAs, and EoT Labs, a software development and incubation organization supporting open-source projects focused on the Economy of Things.

At times, all it takes to defeat a high-tech solution is something as low-tech as a piece of bubble gum. You see, certain goods — mostly food products such as fish or dairy — have to be transported at a specific temperature. Companies set up sensors in delivery trucks to keep track of that, but drivers, who can get fined for mishandled shipments, aren’t fans of those. So some of them just put chewing gum on the sensors, which makes sensor readings invalid.

In both cases, data and rewards ultimately go hand in hand: If you provide the right data, you get the tokens. Most people will do exactly that, playing by the rules. However, a small amount of bad actors might decide to spice things up — and spoil the meal for everyone.Here is the problem: Data can be spoofed, or forged, in non-techie terms.

The good news is that we don’t need a one-size-fits-all solution. We can rather mix and match various approaches and build decentralized networks with multi-level safeguards. Using the devices’ private keys to sign all the data they broadcast at the source is a good device-agnostic first step that allows us to track the data to its source and thus weed out malicious actors post-factum.

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