Research v1.0.0 Stable

Structure as Storage

A study in rule-constrained symbolic steganography. Exploring the embedding of encrypted entropy into legal chess notation, where integrity becomes a mathematical inevitability.

Operational Capacity

Information
Density

Symbolic throughput metrics.

Total Message Size (Bits) Encoded

0BITS
Verified Node Aggregate

Total PGN Length Encoded

0CHAR
Verified Node Aggregate

Total Plies

0MOVE
Verified Node Aggregate

Total Variations

0BRCH
Verified Node Aggregate

Total Encoding Time

0MS
Verified Node Aggregate

The Thesis

Traditional steganography relies on concealment within media noise (pixels, frequencies). This project validates a different approach: Constraint-Based Embedding. By mapping ciphertext to the decision-tree of a chess engine, we create a carrier where validity is binary. A file is either perfectly legal chess PGN, or it is broken. There is no middle ground for tampering.

Universal Substrate

Chess rules are global constants, providing a verifiable ground truth independent of the carrier.

Deterministic Entropy

Chaos (ciphertext) is transmuted into Order (valid moves) via strict, reversible logic.

Structural Dependence

System Properties

Mechanismless properties of rule-bound information.

Encryption

AES-256-GCM

Authenticated confidentiality with 128-bit integrity tags.

Algorithm

UCI-Lexicographical Mapping

Deterministic integer-to-move conversion mapping algorithm.

Obfuscation

Plausible Deniability

Statistical indistinguishability from human play variations.

FIDE Standard

Verifiable Syntax

Output is indistinguishable from valid game records.

Scaling

Unbounded Capacity

Recursive variation tree scaling for arbitrary payload sizes.

Foundational Logic

System Constraints

Unlike media steganography, rule-bound systems do not degrade. However, they demand exactness. This details the boundary between information existence and game legality.

Adversary Model

Kerckhoffs's Principle

Crypto Primitive

AES-256-GCM

Integrity

Rule-Bound

Detection

Behavioral

Observation Through Structure

Entropy Bound to Rules

"When information is bound to structure, correctness ceases to be optional."

ValidatedResearch Grade

Final Observation

The Inevitability of Structure

Non-Optional Correctness

100%

Consistency maintained across all experimental validations.

Bound Integrity

Recursive variation logic allows for theoretical infinite expansion of carrier move-space.

Rule-Based Truth

High

Move-selection alignment with UCI-grade engine heuristics.

Clarity Over Deployment

Information need not be static. It can be a performance of rules. This demonstration invites a shift in how we perceive the permanence of digital records.

Public Observation

"Making this principle publicly observable through an interactive demonstration."

Scientific Context

"Invites reconsideration across scientific, educational, and archival contexts."

Observe the Interaction

Step into the demonstration to observe how information binds to structure.

Enter Demonstration

Research Lab

Independently Proven

Deterministic Logic
Peer-Validated
Open Protocol
Zero Data Loss
Adversary Tested
Scalable Base