What is Proof of History?

What is Proof of History?


You’ve probably heard of Proof of History. But what is it?

Cryptocurrencies are complex. There is no doubt about it. For them to operate, they undergo complex methods to ensure you get the same amount you were supposed to receive or to send. Among these complex sets of codes is proof of history.

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Proof of history (or PoH) helps to solve amongst the most difficult problems present within a distributed set of systems. Instead of trusting a given timestamp depending upon when a transaction arrives or is sent, proof of history helps to prove that a certain type of transaction did occur within a given time frame: sometime before and after the event of that transaction.

In proof of history, there is what is known as “high-frequency variable delay function” which helps to produce a very unique output that helps to efficiently and also publicly verify a transaction. Proof of history is mainly used by Solana (SOL) which saw its highest price in September 2021.

Computation of PoH

Proof of history is a set of different sequences of computation that helps to provide a very different cryptographically “verifiable” passage. This allows for the public to understand and also verify the accuracy of two events (i.e. sending of a transaction and receiving of a transaction). The cryptographically secure function is written which helps to produce an output that is in no manner connected with the input helps to ensure transparency.

The operation that takes place includes a function that is operated within a sequence present at a single core. It helps to overlook the output that is generated by a given input, thus periodically recording a series of outputs depending upon how many times that input has been called. The generated output is then re-computed and thus verified with the help of external computers based within a parallel by checking at the sequence segment based on a separate core.

With the help of this sequence, the operating data is then timestamped within the sequence at which it was appending thus leading towards being present in the state of function that exists. With the help of this design, horizontal scaling is also supported through the usage of multiple generators that helps to synchronize among one another by mixing their states and producing equal sequences.  

Operating proof of history

There are three inputs that are published: state, input data, and count. Proof of history appends all the input causes at the present future output that helps to change their unpredictability. With the help of this, it is almost impossible to parallelize along with the hash function that is pre-imaged as well as collision-resistant. It becomes almost impossible to create an input on its own that would generate a desired output in the future or produce any form of alternative history through the help of hashes.

This is how proof of history can prove certain data was created sometime before the operation was executed, thus giving ample proof of action that took place. It’s similar to how users know that events published in their favorite newspaper happened before they were written down.

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