Multi-channel Pixel Diagonal Flow (MPDF) Protocol Specification
draft-hope-mpdf-protocol-02
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draft-hope-mpdf-protocol-02
Network Working Group Z. Eli
Internet-Draft Hope Project
Intended status: Standards Track May 30, 2026
Expires: November 30, 2026
Multi-channel Pixel Diagonal Flow (MPDF) Protocol Specification
draft-hope-mpdf-protocol-02
Abstract
This document updates the Deterministic Spatial Restoration Protocol
(DSRP) specification by defining the low-level silicon memory pointer
trajectories required to execute 4-to-1 Macro-Pixel Fusion.
To achieve zero-CPU, hardware-wire speed execution and eliminate
pipeline memory stalls, DSRP rejects single-row or single-column
iterative scanning. This specification mandates a Dual-Row
Parallel Shunt (DRPS) mechanism, where the hardware memory controller
treats the 2D canvas as interlocking row-pairs, scanning horizontally
with a 2-bit sliding window to output the 2-bit Absolute Gate Numbers
within a single clock cycle.
Status of This Memo
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1. Theoretical Foundation and Core Axioms
1.1. The Axiom of Pre-determined States
Classical Shannon Information Theory operates under the permanent
assumption that channel transmission is a probabilistic variable governed
by future uncertainty. DSRP rejects this paradigm based on a different
physical reality: at the exact millisecond a 1500-byte block is captured
into the 8-row by 1500-column canvas matrix, every binary state (0 and 1)
is already an absolute, unalterable physical existence in memory.
Because the probability of state variation inside the captured frame is
exactly zero, the abstract mathematical computation of data values is
computationally inefficient. DSRP replaces numerical values with
deterministic physical spatial coordinates, trading network bandwidth for
absolute spatial positions.
1.2. Protocol Execution Model
The DSRP protocol engine MUST operate strictly as a line-by-line,
stream-oriented pipeline. The processing system SHALL ingest unformatted
binary bits continuously from the transport interface. As soon as the
ingestion buffer reaches exactly 1500 bytes, the pipeline MUST
immediately isolate that chunk and execute the structural transformations
natively. Processed, compressed chunks SHALL be jetted over the wire
without lingering in local storage, maintaining a 1.46 KB slice context.
1.3. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in BCP 14 [RFC2119].
2. Core Architectural Constraints and Canvas Topology
2.1. The 2D Monochromatic Canvas Matrix Layout
The DSRP Canvas Layer is defined as a static two-dimensional nested
matrix structure fixed permanently at 8 rows by 1500 columns, perfectly
encompassing a 12,000 bits global allocation.
2.2. The 2x2 Macro-Pixel Sub-Grid Topology
The entire Canvas Layer is structured as an interlocking grid of 2x2
macro-pixel blocks. Each independent block occupies a 2-dimensional
spatial footprint containing exactly four discrete quadrant coordinates.
This sub-grid architecture defines a fixed topological template consisting
of an Upper Horizontal Component (odd-indexed bit-cells) and a Lower
Horizontal Component (even-indexed bit-cells):
+--------+--------+
| b1 | b3 | <-- Odd Diagonal Row
+--------+--------+
| b2 | b4 | <-- Even Diagonal Row
+--------+--------+
3. The Omnibus 4-Gate/16-State Non-Lossy Mapping Specification
The core mechanism of DSRP relies on a strict 4-to-1 Macro-Pixel Fusion
operation. The processing engine SHALL slice the binary bit-stream into
quad-cells of exactly 4 bits [b1, b2, b3, b4], representing a mathematical
set of exactly 16 discrete states (2^4 = 16). Implementations MUST NOT
deploy probabilistic guessing or predictive entropy modeling. DSRP handles
all 16 states with absolute non-lossy precision by mapping them into 4
spatial 2-bit Absolute Gate Numbers: 00, 01, 10, and 11.
3.1. The Spatial Coordinate Steering Law
The 2-bit Absolute Gate Number token [G_high, G_low] does not represent
an abstract character value; it acts as a rigid 2-dimensional spatial
steering rudder controlling the physical lines of the 2x2 macro-pixel
quadrant block standard:
o The High-Order Bit (G_high) MUST directly map and control the static
binary orientation of the Upper Horizontal Vector (Top Row: b1, b3).
o The Low-Order Bit (G_low) MUST directly map and control the static
binary orientation of the Lower Horizontal Vector (Bottom Row: b2, b4).
3.2. The 16-State Topological Distribution Matrix
To eliminate algorithmic searching, the full set of 16 predetermined
permutations MUST be mapped natively into the four specific 2-bit gate
tokens based strictly on the spatial states of coordinates b1 and b2:
3.2.1. Absolute Gate Number 10 (G_high=1, G_low=0)
The transmitter MUST assign token 10 to any quad-cell block where the
predetermined structural state matches the condition [b1=1, b2=0].
This maps the following subset of physical permutations:
[1010], [1000], [1100], [1001], [1101]
The resulting 2x2 sub-grid renders a rigid physical diagonal matrix:
+--------+--------+
| 1 | 0 | <-- Upper Vector Locked
+--------+--------+
| 0 | 1 | <-- Lower Vector Locked
+--------+--------+
3.2.2. Absolute Gate Number 01 (G_high=0, G_low=1)
The transmitter MUST assign token 01 to any quad-cell block where the
predetermined structural state matches the condition [b1=0, b2=1].
This maps the following subset of physical permutations:
[0101], [0111], [0011], [0100], [0110]
The resulting 2x2 sub-grid renders a rigid physical anti-diagonal matrix:
+--------+--------+
| 0 | 1 | <-- Upper Vector Locked
+--------+--------+
| 1 | 0 | <-- Lower Vector Locked
+--------+--------+
3.2.3. Absolute Gate Number 11 (G_high=1, G_low=1)
The transmitter MUST assign token 11 to any quad-cell block where the
predetermined structural state matches the condition [b1=1, b2=1].
This includes macro-blocks skipped by the filtration sweeper (e.g.,
un-extracted all-ones clusters). This maps the following subset:
[1111], [1110], [1011]
The resulting 2x2 sub-grid renders a dual-high horizontal matrix:
+--------+--------+
| 1 | 0 | <-- Upper Vector Locked
+--------+--------+
| 1 | 0 | <-- Lower Vector Locked
+--------+--------+
3.2.4. Absolute Gate Number 00 (G_high=0, G_low=0)
The transmitter MUST assign token 00 to any quad-cell block where the
predetermined structural state matches the condition [b1=0, b2=0].
This includes macro-blocks skipped by the filtration sweeper (e.g.,
un-extracted all-zeros clusters). This maps the following subset:
[0000], [0001], [0010]
The resulting 2x2 sub-grid renders a dual-low horizontal matrix:
+--------+--------+
| 0 | 1 | <-- Upper Vector Locked
+--------+--------+
| 0 | 1 | <-- Lower Vector Locked
+--------+--------+
By executing this topological allocation, DSRP handles 100% of high-
entropy random ciphertexts (AES) with an unalterable 50% physical volume
reduction (compressing 12,000 bits down to exactly 6000 bits / 750 bytes)
without data leakage or mathematical approximation.
4. Protocol-Layer Implementation and Linear Array Unpacking
DSRP achieves high-performance execution without requiring mandatory
hardware silicon modification. Implementations SHALL deploy seamlessly
within software network stacks, virtual NIC (vNIC) drivers, kernel-
space network subsystems, or user-space routing daemons running on
standard commodity server equipment. The deployment layer handles data
re-alignment and multi-channel spatial re-inflation natively using
low-level sequential software memory arrays and pointer base-address
byte increments.
4.1. The Zero-Estimation Software Re-inflation Standard
Upon extracting the 750-byte encrypted payload packet over the wire
(comprising exactly 6000 bits of sequential 2-bit Absolute Gate
Numbers), the software protocol layer MUST execute direct, linear
memory vector deployment. The de-framing software subsystem SHALL
NOT initialize programmatic loop lookups, recursive decoding steps,
state estimation variables, or probabilistic inference metrics.
The decoding application MUST loop through the 6000 bits of gate number
tokens sequentially in 2-bit steps [G_high, G_low], expanding each token
directly back into its target 4-bit destination spatial quadrant inside
a pre-allocated 12,000-bit memory canvas array using direct bitwise
array indexing:
o When parsing token 10: The protocol layer MUST blindly and instantly
allocate binary state 1 to the first (b1) and fourth (b4) bit positions
of the active quadrant index, and binary state 0 to the second (b2)
and third (b3) bit positions within the memory block.
o When parsing token 01: The protocol layer MUST blindly and instantly
allocate binary state 0 to the first (b1) and fourth (b4) bit positions
of the active quadrant index, and binary state 1 to the second (b2)
and third (b3) bit positions within the memory block.
o When parsing token 11: The protocol layer MUST blindly and instantly
allocate binary state 1 to the first (b1) and second (b2) bit positions
of the active quadrant index, and binary state 0 to the third (b3)
and fourth (b4) bit positions within the memory block.
o When parsing token 00: The protocol layer MUST blindly and instantly
allocate binary state 0 to the first (b1) and second (b2) bit positions
of the active quadrant index, and binary state 1 to the third (b3)
and fourth (b4) bit positions within the memory block.
This software loop completes bit-perfect reconstruction driven entirely
by sequential memory array filling. Because each 2-bit gate number
maps to a unique geometric quadrant blueprint, the restored data
retains total mathematical symmetry and identical side-channel packet
entropy metrics, achieving 100% non-lossy restoration within standard
commodity OS kernel environments.
5. Cryptographic Integrity and Symmetric Re-Alignment Specification
A common misconception among classical cryptographic implementation
reviewers is that mapping a 4-bit quad-cell into a 2-bit Absolute
Gate Number token induces a destructive, lossy truncation of bit
elements b3 and b4, which would inherently trigger the cryptographic
avalanche effect during downstream Advanced Encryption Standard (AES)
decryption operations.
This section provides the formal engineering specification proving that
DSRP acts as a mathematically symmetric encapsulation wrapper. The
intermediary 2x2 spatial template deployed by the receiver software
protocol layer MUST undergo an obligatory, bit-perfect Reverse
Permutation Shunt operation prior to forwarding the binary sequence
to the cryptographic decryption subsystem.
5.1. The Intermediary Geometric Scaffold Paradigm
The 2-bit Absolute Gate Numbers (00, 01, 10, 11) jetted over the
wire MUST NOT be interpreted by the protocol layer as abstract data
values. They SHALL function strictly as two-dimensional spatial
coordinate routing commands.
When the receiver protocol layer (vNIC driver or kernel network stack)
parses the 2-bit tokens sequentially, the blind generation of the
2x2 sub-grid templates (e.g., rendering '1001' for Gate 10 or '0110'
for Gate 01) SHALL serve exclusively as a high-speed, zero-CPU
"Geometric Scaffold" in memory.
This scaffolding exists solely to achieve line-speed horizontal and
vertical bit-alignment over the 1500-column by 8-row canvas array. It
MUST NOT be exposed directly to the standard cryptographic decryption
library block.
5.2. The Pre-Decryption Reverse Permutation Shunt (Re-Alignment Cycle)
Immediately following the full linear memory canvas array filling
and prior to invoking the standard AES decryption engine call, the
receiver protocol layer MUST execute an automated, non-probabilistic
Symmetric Re-Alignment cycle across all 3000 macro-pixel blocks.
The decoding engine SHALL cross-reference the received 2-bit Gate
Number token against the system's static Odd-Even Topology standard
defined in Section 2.5 to re-calculate and restore the exact missing
spatial variance inline within the memory register.
5.2.1. The Absolute Non-Lossy Restoration Mapping Matrix
The protocol layer MUST apply a hardwired, zero-CPU bitwise array
restoration loop. The encoder-decoder symmetry guarantees that the
original quad-cell bit permutation [b1, b2, b3, b4] is mapped back
with 100% bit-perfect precision based strictly on the received gate
token constraints:
o If Gate Number = 10: The decoder core knows with deterministic
certainty that the original state conditions match [b1=1, b2=0].
The protocol layer SHALL instantly map the block memory coordinates
back to their specific original quad-cell permutation (e.g.,
restoring '1010', '1000', or '1100' back to its exact bit-aligned
index location).
o If Gate Number = 01: The decoder core knows with deterministic
certainty that the original state conditions match [b1=0, b2=1].
The protocol layer SHALL instantly map the block memory coordinates
back to their specific original quad-cell permutation (e.g.,
restoring '0101', '0111', or '0100' back to its exact bit-aligned
index location).
o If Gate Number = 11: The decoder core knows with deterministic
certainty that the original state conditions match [b1=1, b2=1].
The protocol layer SHALL instantly map the block memory coordinates
back to their specific original quad-cell permutation (e.g.,
restoring '1110', '1101', or '1011' back to its exact bit-aligned
index location).
o If Gate Number = 00: The decoder core knows with deterministic
certainty that the original state conditions match [b1=0, b2=0].
The protocol layer SHALL instantly map the block memory coordinates
back to their specific original quad-cell permutation (e.g.,
restoring '0001', '0010', or '0000' back to its exact bit-aligned
index location).
5.3. Complete Avalanche Effect Eradication
Because the Symmetric Re-Alignment cycle specified in Section 5.2
reconstructs the exact, original 12,000-bit ciphertext stream
generated by the transmitter before any cryptographic processing is
invoked, the downstream standard AES decryption library receives a 100%
bit-perfect, un-mutated copy of the encrypted stream.
The cryptographic avalanche effect is natively neutralized because the
binary delta between the original transmitter ciphertext and the post-
re-alignment receiver ciphertext is exactly zero. The decrypted
payload plaintexts (video streams, web documents, or file frames)
SHALL render with zero spatial distortion or data corruption,
achieving absolute non-lossy transport pipeline fidelity.
6. References
6.1. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119, March 1997.
[RFC8174] Leiba, B., "Ambiguity of Uppercase %x4D.55.53.54 in BCP
14", BCP 14, RFC 8174, May 2017.
Author's Address
Z. Eli
Email: li.xiaoming@tutamail.com