GINAR requires the contribution of participants on a decentralized network. With the assumption that more than half of the network is honest, no one can get control over who will be eligible to make contributions. Any participant in the network is not able to see other participants’ contributed value before the random number is settled. As a result, no one can determine the outcome until the generation process is completed. Everyone having an address on the network can take part in the generation process without restrictions.
Verifiability is required to ensure that the generation process has not been circumvented. Traditional RNGs can only prove that it uses a random method but are not able to provide any technique to audit the results after it is generated. Decentralized solutions leverage the Blockchain technology to bring transparency in the generation process to everyone.
GINAR produces random numbers from the contribution of participants on the blockchain. Manipulation is not feasible on the blockchain networks since it is made up of thousands to millions of participants scattered across the world. Based on crypto-systems, a participant in the network is not able to see other participants’ contributed value before the random number is settled. A number of participants cannot lead the whole system to generating an output number that is matched with their nonrandom pattern.
GINAR is designed for speed. It produces 1,000,000 random numbers per second, which other providers fail to replicate, making GINAR a best-in-class solution. Some solutions have been developed by other services that take minutes to produce a handful of numbers. GINAR will be able to not only offer best-in-class services, but lower companies’ operational costs from eliminating expensive auditing procedures and anti-hacking systems. In addition, the cost barrier is significantly less compared to other competitive services. No modification is needed on customer’s architect and devices in order to use GINAR protocol. Capability of supporting for many industries and limitless of applications, from online-based to land- based customers.
A Statistical Test Suite for the Validation of Random Number Generators and Pseudo Random Number Generators for Cryptographic Applications
This DIEHARD tests are a battery of statistical tests for measuring the quality of a random number generator
A testing and benchmarking tool for random number generators
This Recommendation specifies mechanisms for the generation of random bits using deterministic methods
NMi is a globally reputed compliance testing and auditing lab with more than 40 years of experience in the gaming industry
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