Zero Copy Dev/Random TRNG Hashzar (c)RS

Zero Copy Dev/Random TRNG Hashzar (c)RS

In reference to Quantum Random Number Enhanced ChaCha (QRE-ChaCha) & other Random & Pseudorandom number injection protocols (c)RS

An Improved ChaCha Algorithm Based on Quantum Random Number

https://arxiv.org/html/2507.18157v1

Now this scheme proposes injecting random numbers into the lattice system,..

In rounds, Now as you may know in the cyber community & Nist the injection of noise or white noise or whitening..

With pseudo approximations to an offset of in the order of 0.03% from simple static & Gaussian distributions from a black and white image with a deviation from average grey of around 5%

These deviations averagely produce the result that the image is mostly off-white grey..

Producing the effect that overall discernment of the composing state will find few indications of approximate difference,

If you code! you cannot take an average & define an approximate perfect copy of the dev/random results,..

However the random state of white gaussian noise averages very approximately to 0.003+- difference from 0,..

We need more chaos! for our cryptography..

We will be seeking .. A perfection in Quantum Random & very well the greedy system works fine!

We do not need quality quantum numbers for the system to work, really...

You see there are numerous TRNG, ORNG, NIST Quantum Beacon, DRNG & Certificate based Random,..

So Quantum Random is the feed of the day! & you know something? I have statistically analysed my Linux Dev/Random under the following situations:

CPU Random : Haveged

TRNG (i have 2)

DRNG, Windows, Linux

New proposals for dev/random (c)RS

All buffers use:

RDMA & DMA & Zero-Copy usage for all buffers reduces cache thrashing code fetch errors

Multisource list with single buffers : CPU:Random, Haveged, TRNG, DRNG, dev/random,

Then:

Injection into encrypted certificate code buffer,

Then

Output to buffer & hash with other buffer

All buffers shall be located at random addresses & CPU cache will be redirected on write & read to reduce data copy in cache issues & improve Zero Copy RDMA Functions.

(c)Rupert S

https://science.n-helix.com/2017/04/rng-and-random-web.html

https://science.n-helix.com/2025/07/zerocopy.html

https://is.gd/ECH_TLS

https://science.n-helix.com/2022/03/ice-ssrtp.html

https://science.n-helix.com/2024/10/ecc.html

https://science.n-helix.com/2024/10/tls.html