HyphaCrypt

HyphaCrypt

HyphaCrypt is the custom cryptographic and encoding framework designed specifically for Seigr’s Urcelial-net and its foundational .seigr file format. Inspired by the adaptive, self-sustaining properties of fungal hyphal networks, HyphaCrypt ensures secure, scalable, and resilient data encoding, encryption, and verification across Seigr’s decentralized architecture. Utilizing advanced cryptographic strategies, including senary (base-6) encoding, layered hashing, adaptive salting, and a secure pseudo-random number generator (PRNG), HyphaCrypt provides the Seigr ecosystem with a robust means to manage and protect data integrity and lineage.

Purpose of HyphaCrypt

The Seigr Urcelial-net aims to offer a secure, transparent, and ethical decentralized data ecosystem. Central to these goals is a cryptographic framework that ensures data authenticity, integrity, and traceability across nodes, segments, and capsule layers. HyphaCrypt facilitates secure encoding, data replication, and tamper-proof lineage tracking within the Seigr network, leveraging unique transformations and high-entropy hashing to uphold data resilience. This adaptive cryptographic structure is a cornerstone of Seigr’s strategy to create a decentralized, eco-aligned data management model.

Key Features of HyphaCrypt

HyphaCrypt’s design brings together various cryptographic principles and transformations to protect Seigr’s .seigr files, capsules, and Seigr Cells. Major features include:

• Senary Encoding: Converts binary data to base-6 encoding, compacting data for Seigr Cells and enhancing security through non-binary encoding.
• Substitution-Permutation Network (SPN) Transformations: Applies bitwise transformations to create non-linear encoding pathways, reducing predictability.
• Hierarchical Hashing (SHA-256 & SHA-512): Creates integrity checks at both file and cluster levels, securing Seigr Cells within their capsules and larger clusters.
• Dynamic Salt Generation: Ensures each file and segment’s hash is unique, adding tamper resistance and protecting against rainbow table attacks.
• Secure Xorshift-based PRNG: Generates high-entropy randomness critical for encoding, salting, and pseudo-random transformations.

Technical Overview

HyphaCrypt combines adaptive encoding, secure hashing, and position-based transformations to create a cryptographic structure that protects Seigr files in the Urcelial-net. Its components are detailed below.

Senary Encoding and Decoding

Senary encoding is central to HyphaCrypt’s data handling, transforming binary data to base-6 representation and thereby aligning with Seigr’s eco-conscious principles by reducing redundancy and optimizing storage.

• Senary Encoding Function: Converts each byte into a base-6 sequence, creating a compact representation and obscuring the original binary structure. Let $x$ represent an input byte, the senary transformation function $f(x)$ maps $x$ to its base-6 equivalent:

 $f(x)=\sum _{i=0}^{n-1}d_{i}\cdot 6^{i}$
 
 where $d_{i}$ are the digits in base-6 of $x$. This function not only compresses data but creates a unique encoding pattern for Seigr Cells.

• Substitution-Permutation Network (SPN) Transformation: Involves position-dependent bitwise transformations, introducing unique encoding sequences for each byte and effectively scattering its data structure. This ensures that tampering with one byte disrupts the segment’s entire encoding pattern.

Example Encoding Process:

Binary Input: [01010111]
SPN Transformation: [11101001]
Base-6 Encoded: "32"

Multi-Level Hashing System

HyphaCrypt applies a hierarchical hashing structure to create secure references within and between Seigr Cells, .seigr files, and data clusters, enabling modular data verification and decentralized traceability.

• Primary Hashing (SHA-256): Each Seigr Cell generates a unique SHA-256 hash, securing each segment independently within a capsule.
• Cluster-Level Hashing (SHA-512): Seigr Cell clusters are hashed collectively, creating a cluster-level SHA-512 hash that verifies the integrity of individual segment hashes within a capsule.

Hash Integrity Model: Let each segment hash be represented as $h_{i}$ for segments $i\in \{1,2,\ldots ,n\}$. The cluster-level hash $H_{c}$ is computed as:

$H_{c}={\text{SHA-512}}(h_{1}\parallel h_{2}\parallel \ldots \parallel h_{n})$

where $\parallel$ denotes concatenation. This layered model supports Seigr’s need for tamper-resistant, traceable data organization.

Dynamic Salting Mechanism

Dynamic salt generation within HyphaCrypt reinforces cryptographic randomness, introducing high entropy for secure hashes and preventing hash value predictability.

• Salt Formula: Each salt value $s$ is generated by combining a UUID with high-resolution timestamp data and PRNG output:

 $s={\text{UUID}}\oplus {\text{Timestamp}}\oplus {\text{PRNG}}$

 Here, $\oplus$ represents XOR. This salt value is added to each segment’s encoding, creating a secure layer of uniqueness for each Seigr Cell.

• Salt Injection: Each salt value varies dynamically based on node entropy and data frequency, ensuring that similar data in different capsules or nodes cannot share the same hash.

Secure Pseudo-Random Number Generation (Xorshift)

HyphaCrypt’s PRNG supplies the entropy needed for encryption and salting, based on the Xorshift algorithm, chosen for its high speed and randomness.

• Xorshift Mechanics: The PRNG generates a sequence $X_{n}$ with high entropy, using bitwise shifts:

 $X_{n+1}=X_{n}\oplus (X_{n}<<a)\oplus (X_{n}>>b)\oplus (X_{n}<<c)$

 Constants $a$, $b$, and $c$ control randomness, which is cycled to inject entropy into salt and encoding operations.

Security Benefits of HyphaCrypt

HyphaCrypt’s cryptographic structure supports Seigr’s commitment to resilience, security, and data ethics by protecting data at every stage.

• Enhanced Data Obfuscation: SPN transformations and senary encoding complicate direct reverse engineering of Seigr Cell data.
• High-Entropy Encryption: Dynamic salting and Xorshift PRNG generate high entropy, making each capsule’s hash unique and resistant to external attacks.
• Tamper Detection: SHA-256 and SHA-512 hash validations detect any alterations, immediately flagging tampered data.
• Decentralized, Self-Contained Security: HyphaCrypt’s native cryptographic solutions do not rely on third-party libraries, reducing security risks and enabling independent resilience.

Applications within Seigr Urcelial-net

HyphaCrypt underpins key data handling functions within Seigr, ensuring each operation is secure, traceable, and resilient.

• Adaptive Replication and Demand-Based Scaling: With the 6RR Mechanism, HyphaCrypt dynamically adjusts replication based on demand, ensuring high-access capsules are secure and accessible.
• Contributor Verification and Traceability: Hashes allow Seigr to track and verify contributions securely, supporting Seigr’s ethical data model.
• Tamper-Proof Lineage Tracking: Data lineage is secured using hash chains across Temporal Layers, documenting each capsule’s history without risk of unauthorized modification.

Conclusion

HyphaCrypt is a foundational technology within Seigr’s data protocol, combining advanced cryptographic security with adaptive, eco-conscious design principles. By providing secure senary encoding, layered hashing, dynamic salting, and PRNG-based transformations, HyphaCrypt positions Seigr to offer a decentralized, resilient data ecosystem. This adaptable cryptographic infrastructure aligns with Seigr’s mission of creating an ethical, transparent, and community-driven digital space that respects both data integrity and sustainability.

For further information, explore:

• .seigr File Format
• Seigr Cell
• Temporal Layer
• 6RR Mechanism
• Seigr Metadata
• Adaptive Replication