Dev/Random : Importance : Our C/T/RNG Can Help GEA-2 Open Software implementation of 3 Bits (T/RNG) Not 1 : We need Chaos : GEA-1 and GEA-2 Implementations we will improve with our /Dev/Random

Fri Mar 25 04:16:29 UTC 2022

Dev/Random : Importance

Our C/T/RNG Can Help GEA-2 Open Software implementation of 3 Bits
(T/RNG) Not 1 : We need Chaos : GEA-1 and GEA-2 Implementations we
will improve with our /Dev/Random

We can improve GPRS 2G to 5G networks still need to save power, GPRS
Doubles a phones capacity to run all day,

Code can and will be improved, Proposals include:

Blake2
ChaCha
SM4
SHA2
SHA3

Elliptic Encipher
AES
Poly ChaCha

Firstly we need a good solid & stable /dev/random

So we can examine the issue with a true SEED!

Rupert S https://science.n-helix.com/2022/02/interrupt-entropy.html

TRNG Samples & Method DRAND Proud!

https://drive.google.com/file/d/1b_Sl1oI7qTlc6__ihLt-N601nyLsY7QU/view?usp=drive_web
https://drive.google.com/file/d/1yi4ERt0xdPc9ooh9vWrPY1LV_eXV-1Wc/view?usp=drive_web
https://drive.google.com/file/d/11dKUNl0ngouSIJzOD92lO546tfGwC0tu/view?usp=drive_web
https://drive.google.com/file/d/10a0E4Gh5S-itzBVh0fOaxS7JS9ru-68T/view?usp=drive_web

https://github.com/P1sec/gea-implementation

"GEA-1 and GEA-2, which are very similar (GEA-2 is just an extension
of GEA-1 with a higher amount of processing, and apparently not
weakened) are bit-oriented stream ciphers."

"A stream cipher, such as the well-known RC4 or GEA-1, usually works
through using the Xor operation against a plaintext. The Xor operation
being symmetrical, this means that encrypting should be considered the
same operation as decrypting: GEA-1 and GEA-2 are basically
pseudo-random data generators, taking a seed (the key, IV and
direction bit of the GPRS data, which are concatenated), and the
generated random data (the keystream) is xored with the clear-text
data (the plaintext) for encrypting. Then, later, the keystream is
xored with the encrypted data (the ciphertext) for decrypting. That is
why the functions called in the target library for decrypting and
encrypting are the same.

GEA-1 and GEA-2 are bit-oriented, unlike RC4 which is byte-oriented,
because their algorithms generate only one bit of pseudo-random data
at once (derived from their internal state), while algorithms like RC4
generate no less than one byte at once (in RC4's case, derived from
permutation done in its internal state). Even though the keystream
bits are put together by the current encryption / decryption C and
Rust libraries into bytes in order to generate usable keystream,
obviously.

Based on this, you can understand that GEA-1 and GEA-2 are LFSR:
Linear Feedback Shift Register-oriented ciphers, because their
internal state is stored into fixed-size registers. This includes the
S and W registers which serve for initialization / key scheduling
purposes and are respectively 64 and 97-bit wide registers, and the A,
B, C (and for GEA-2 only D) registers which serve for the purpose of
keystream generation, which are respectively 31, 32, 33 and 29-bit
wide registers.

On each iteration of the keystream generation, each register is
bit-wise rotated by one position, while the bit being rotated from the
left towards the right side (or conversely depending on in which bit
order you internally represent your registers) is fed back to the
algorithm and mutated depending on given conditions. Hence, the
shifted-out bit is derived from other processing, and reinserted,
while being for this reason possibly flipped depending on conditions
depending on bits present at the other side of the given register.
This is the explanation for the name of linear feedback shift register
(shift because of the shift operation required for the rotation, and
linear feedback because of the constant-time transform operation
involved).

The rest of the register may also be mutated at each iteration steps,
as in the case of the GEA-1 and 2, whole fixed Xor sequences (which
differ for each register) may be applied depending on whether the
rotated bit is a 0 or a 1.

Note that a step where the register iterates is called clocking (the
register is clocked), and that the fixed points where the register may
be Xor'ed when the rotated bit becomes a 1 are called taps. The linear
function which may transmute the rotated bit at the clocking step
(taking several bits of the original register as an input) is called
the F function.

Those kind of bit-oriented LFSR algorithms, such as GEA-1 and 2 (for
GPRS) and A5/1 and 2 (for GSM), were designed this way for optimal
hardware implementations in the late 80's and early 90's."

*****

NT Interrupt counter Entropy : A counter theory : RS

"more importantly, our
distribution is not 2-monotone like NT's, because in addition to the
cycle counter, we also include in those 4 words a register value, a
return address, and an inverted jiffies. (Whether capturing anything
beyond the cycle counter in the interrupt handler is even adding much of
value is a question for a different time.)"

NT Interrupt counter Entropy : A counter theory : RS

To be clear interrupts are old fashioned (NT & Bios) : Points

Network cards have offloading? Yes & why cannot we?

Offloaded does not mean that a time differential matrix HASH AES of 32Bit words,
Cross pollinated though MMX, AVX , SiMD is plausible!

Combined with even network latency timing & interrupt latency...

Various system differentials can alternate line in our table per clock sync!

In this reference Quartz clock instability is not only counter acted by NTP...
But also utilized as a variable co-modifier.

So why not also advantage ourselves of the clock frequency scaling
effect to confuse odds again for Entropy (Random, Not Entropy)

SSD does also have a write counter & a cleared state, not so boring as
one thinks if per 32KB segment is hashed in 4Bit, 8,Bit 32Bit float!
(remember we have DOT3 DOT 4 & INT8 in ML)

We can utilize write cycle statistics & all hardware; Interrupts by
themselves are rather Boring!

Computed timings on processes multiplexed over 3 Threads per group in
competition is also a potential complexifier of Random

Rupert S

https://science.n-helix.com/2018/12/rng.html

https://science.n-helix.com/2022/02/rdseed.html

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

https://science.n-helix.com/2022/02/interrupt-entropy.html

https://science.n-helix.com/2021/11/monticarlo-workload-selector.html

https://science.n-helix.com/2022/03/security-aspect-leaf-hash-identifiers.html

https://science.n-helix.com/2022/02/visual-acuity-of-eye-replacements.html

****

PreSEED Poly Elliptic SiMD RAND : RS

Preseed ; 3 Seeds with AES or Poly ChaCha or even 1 : 2 would be
rather fast Init

Blending them would make a rather paranoid Kernel developer feel safe! :D

Like so List:

3 seeds 32Bit or 64Bit :
Examples :

1 Seed : Pre seeded from CPU IRQ & Net 16Bit values each & merged
2 & 3 from server https://pollinate.n-helix.com &or System TRNG

4 Seed mix 128Bit Value

Advantages :

AVX & SiMD Mixxer is fast 'Byte Swap & Maths etcetera" & MultiThreaded
AES Support is common :

*
HASH : RSA Source Cert C/TRNG : (c)RS

Elliptic RSA : Cert Mixer : RSA 4096/2048/1024Temporal : 384/256/192
ECC Temporal

Centric Entropy HASH: Butterfly Effects

Blake2
ChaCha
SM4
SHA2
SHA3

Elliptic Encipher
AES
Poly ChaCha

Elliptic : Time Variance : Tick Count Variance : On & Off Variance : IRQ

*
Time & Crystal : Quartz as a diffraction point fractal differentiator : RS

RDTSC Variable bit differentiation & deviation of the quartz sub .0001
Value combined with complexity of unique interplay with Alternative
clocks such as Network cards, Audio cards & USB Sticks & Bluetooth
radio clocks & Ultimately the NTP Pools themselves when required.

(TIME Differential Float maths) TSC : RDTSC : RDTSCP : TCE supports
single and half precision floating-point calculations

Processor features: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr
pge mca cmov pat pse36 clflush mmx fxsr sse sse2 htt pni ssse3 fma
cx16 sse4_1 sse4_2 popcnt aes f16c syscall nx lm avx svm sse4a osvw
ibs xop skinit wdt lwp fma4 tce tbm topx page1gb rdtscp bmi1

*
For RDTSCP = TValue TV1=16.0685 TV2=16.1432 TV3=15.1871
When Processor Mzh = PV1 PV2 PV3
RAND Source = Es1 Es2 Es3

If Xt = 1.9 < then roll right

((TV1 - TV2) * (PV1 - PV2)) / ((TV1 - TV3) * (PV1 - PV3)) = FractorXt(Xt)

Es1 * Xt = Differential

Es2 Es3

(c) Rupert S

Quartz as a diffraction point fractal differentiator : RS

https://tches.iacr.org/index.php/TCHES/article/download/7274/6452
https://perso.univ-rennes1.fr/david.lubicz/articles/gda.pdf
https://patents.google.com/patent/US9335971
*

"Taking spinlocks from IRQ context is problematic for PREEMPT_RT. That
is, in part, why we take trylocks instead. But apparently this still
trips up various lock dependency analysers. That seems like a bug in the
analyser's that should be fixed, rather than having to change things
here.

But maybe there's another reason to change things up: by deferring the
crng pre-init loading to the worker, we can use the cryptographic hash
function rather than xor, which is perhaps a meaningful difference when
considering this data has only been through the relatively weak
fast_mix() function.

The biggest downside of this approach is that the pre-init loading is
now deferred until later, which means things that need random numbers
after interrupts are enabled, but before work-queues are running -- or
before this particular worker manages to run -- are going to get into
trouble. Hopefully in the real world, this window is rather small,
especially since this code won't run until 64 interrupts have occurred."

https://lore.kernel.org/lkml/Yhc4LwK3biZFIqwQ@owl.dominikbrodowski.net/T/

Rupert S

*****
Serve C-TRNG QT Fractional Differentiator(c)RS

Server C/TRNG Quarts Time * Fractional differentiator : 8Bit, 16Bit,
32Bit, Float Int32 : Fractional Differentiator : fig-mantuary micro
differentiator.

SipHash: a fast short-input PRF

Rotation Alignment : "The advantage of choosing such “aligned”
rotation counts is that aligned rotation counts are much faster than
unaligned rotation counts on many non-64-bit architectures."

http://cr.yp.to/siphash/siphash-20120918.pdf

https://www.aumasson.jp/siphash/siphash.pdf

"Choice of rotation counts. Finding really bad rotation counts for ARX
algorithms turns out to be difficult. For example, randomly setting
all rotations in
BLAKE-512 or Skein to a value in {8, 16, 24, . . . , 56} may allow known attacks
to reach slightly more rounds, but no dramatic improvement is expected.
The advantage of choosing such “aligned” rotation counts is that
aligned rotation counts are much faster than unaligned rotation counts
on many non-64-bit
architectures. Many 8-bit microcontrollers have only 1-bit shifts of bytes, so
rotation by (e.g.) 3 bits is particularly expensive; implementing a rotation by
a mere permutation of bytes greatly speeds up ARX algorithms. Even 64-bit
systems can benefit from alignment, when a sequence of shift-shift-xor can be
replaced by SSSE3’s pshufb byte-shuffling instruction. For comparison,
implementing BLAKE-256’s 16- and 8-bit rotations with pshufb led to a
20% speedup
on Intel’s Nehalem microarchitecture."

https://www.kernel.org/doc/html/latest/security/siphash.html

https://en.wikipedia.org/wiki/SipHash

Code SIP-HASH
https://github.com/veorq/SipHash

Serve C-TRNG QT Fractional Differentiator(c)RS

Server C/TRNG Quarts Time * Fractional differentiator : 8Bit, 16Bit,
32Bit, Float Int32 : Fractional Differentiator : fig-mantuary micro
differentiator.

As we see rotation may benefact from the addition of Quartz crystal
alignment sync data from 4 cycles & aligning data blocks,

Obviously we can pre share 4 64Bit blocks use use a pre seed AES/ChaCha Quad!
Indeed we can have 16 64Bit pre Seeds & chose them by time sync for kernel

Security bug; Solutions & explanation's (contains additional RANDOM
Security Methods) :RS

https://science.n-helix.com/2020/06/cryptoseed.html
https://science.n-helix.com/2019/05/zombie-load.html
https://science.n-helix.com/2018/01/microprocessor-bug-meltdown.html

Rupert S https://science.n-helix.com

*RAND OP Ubuntu :
https://manpages.ubuntu.com/manpages/trusty/man1/pollinate.1.html

https://pollinate.n-helix.com

https://science.n-helix.com/2018/12/rng.html

https://science.n-helix.com/2022/02/rdseed.html

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

https://science.n-helix.com/2021/11/monticarlo-workload-selector.html

https://science.n-helix.com/2022/02/visual-acuity-of-eye-replacements.html

https://science.n-helix.com/2022/02/interrupt-entropy.html

https://aka.ms/win10rng
*

Encryption Methods:
https://tools.ietf.org/id/?doc=hash

https://tools.ietf.org/id/?doc=encrypt

HASH :

https://datatracker.ietf.org/doc/html/draft-ietf-cose-hash-algs

https://tools.ietf.org/id/draft-ribose-cfrg-sm4-10.html

https://tools.ietf.org/id/?doc=sha

https://tools.ietf.org/id/?doc=rsa

Encryption Common Support:

https://tools.ietf.org/id/?doc=chacha

https://tools.ietf.org/id/?doc=aes

SM4e does seem a good possibility for C/T/RNG CORE HASH Functions!

ARM Crypto Extensions Code (Maybe AES Extensions would work here)
https://lkml.org/lkml/2022/3/15/324

ARM Neon / SiMD / AVX Compatible (GPU is possible)
https://lkml.org/lkml/2022/3/15/323

*

197 FIPS NIST Standards Specification C/T/RNG
https://science.n-helix.com/2022/02/interrupt-entropy.html

Only a Neanderthal would approve a non additive source combination
that is injected into the HASH & Re-HASHED ,

One does not Procreate inadequate RANDOM from a simple bias KERNEL,
Hardware RNG's added together may add around 450% Complexity!

Hardware RNG devices MUST be able to Re-HASH to their 197 NIST
Standards Specification, That is FINAL 2022 DT

KEYS: trusted: allow use of kernel RNG for key material

https://lkml.org/lkml/2022/3/16/598

CAAM PRNG Reference : https://lkml.org/lkml/2022/3/16/649