.seigr

.seigr File Format

The .seigr file (pronounced "dot-seigr") is an advanced data format developed for the Seigr Urcelial-net, a decentralized network inspired by the adaptive, layered resilience of mycelial networks. The .seigr format facilitates secure, multi-dimensional data storage and retrieval across decentralized nodes, reimagining data management with embedded segmentation, self-referencing metadata, and re-assembly instructions. Each .seigr file is an interactive, evolving entity within a four-dimensional structure, enabling adaptive, time-aware retrieval and ongoing resilience within the network.

Why the .seigr File Format?

As data decentralizes, storage and retrieval systems must evolve to address dynamic access needs, adaptability, and security in distributed environments. The .seigr format fulfills these needs by introducing multi-dimensional, senary-encoded files with embedded metadata and cross-referencing that allow for complex retrieval paths and temporal adaptability. This ensures that data remains robust, easily accessible, and evolves to meet user demand, creating a resilient and self-sustaining digital ecosystem.

Key Features of .seigr Files

The .seigr format encapsulates several advanced features that ensure scalability, security, and adaptability within the Seigr Urcelial-net:

• Fixed Size of 539 KB: Each .seigr file maintains a precise 539 KB size, balancing accessibility across low-power devices and network nodes with the scalability required for large data sets.

• Senary Encoding with Multi-Layered Data Links: Utilizing senary encoding (base-6), .seigr files encode data compactly while supporting complex retrieval pathways. Multi-dimensional linking allows segments to interrelate hierarchically and laterally, enabling rapid data access through various paths.

• Non-Linear Hash Chaining and Temporal Cross-Referencing: Files leverage hash-chaining across segments, forming a tamper-resistant, interlinked web. Segments contain metadata that supports adaptive retrieval paths and temporal tracking of file transformations, capturing each version's unique place in the network over time.

• Demand-Based Adaptive Replication: Each .seigr file dynamically adjusts its replication frequency based on user demand. This ensures that high-demand segments are readily accessible, while low-demand segments remain minimally replicated, preserving storage resources across the network.

• Decentralized Storage with IPFS: By integrating with IPFS, each .seigr file is distributed across Seigr Urcelial-net nodes, ensuring data resilience, security, and accessibility without dependence on centralized storage systems.

Multi-Dimensional, Time-Responsive Data Structure

The .seigr format structures data as a four-dimensional entity, layering metadata, content, and temporal information to allow adaptive, resilient access. This innovative structure supports multi-path data retrieval, contextual connections, and continuous file evolution across time:

• Primary and Secondary Links: Each segment includes primary and secondary hashes that establish non-linear, flexible retrieval paths, enabling assembly from various network access points.

• 4D Coordinate-Based Indexing for Multi-Layer Navigation: Segments may include three-dimensional coordinates for layered, semantic positioning within the data architecture, as well as a fourth dimension for time. This 4D indexing allows .seigr files to track transformations over time, supporting multi-path access that can adapt to both hierarchical and temporal shifts.

• Annotations and Cross-Referencing: Segments can carry contextual tags and annotations that allow dynamic linking to related resources across the network, creating an interconnected ecosystem for users and applications to explore and build upon.

Temporal Layers: Tracing File Evolution Over Time

Each .seigr file retains a historical record of its transformations, capturing structural or replication adjustments as temporal layers. These layers act as snapshots of a file's state at different moments in time, enabling Seigr Urcelial-net to support files as dynamic, evolving entities:

• Multi-Path Assembly Across Temporal Layers: Temporal layers catalog the primary and secondary segment hashes for various points in time, supporting flexible file assembly across both spatial and temporal paths.

• Dynamic Routing and Replication Logging: As segments replicate and adapt to demand, each .seigr file logs routing and replication metadata within temporal layers. This enables continuous access and integrity even as storage nodes shift over time.

• Adaptive Pathways Based on Temporal Demand: By monitoring access trends across time, the .seigr format automatically optimizes frequently accessed segments while preserving baseline copies for archival data.

Structure of a .seigr File

Each .seigr file comprises structured metadata and adaptive data layering, supporting retrieval efficiency, integrity, and cross-temporal access:

• Header:

 - Version: Specifies the format version, maintaining compatibility as the format evolves.
 - File Type: Indicates the data type (e.g., binary, text).
 - Part Index and Total Parts: Identifies the segment’s position within the full dataset.
 - Primary and Secondary Links: Hashes for direct and cross-referenced links, creating multi-dimensional data pathways.
 - 4D Coordinate Indexing: Optional three-dimensional placement and a fourth dimension for time indexing, enabling layered navigation within both spatial and temporal frameworks.
 

• Senary Encoded Data: Stores the main content as a senary-encoded string, compactly representing the data in base-6.

• Temporal Integrity and Hashing: Generated using HyphaCrypt, these integrity checks ensure data consistency across temporal layers and prevent unauthorized tampering.

Adaptive Replication and Self-Healing Cross-Referencing

The .seigr format is designed to respond to user demand dynamically and support self-healing pathways for resilient data structure management across the Seigr Urcelial-net:

1. Temporal Multi-Path Cross-Referencing:

  - Each segment holds primary and secondary hashes that connect to other segments. These references enable non-linear, multi-path retrieval and allow for multiple reconstruction pathways across spatial and temporal dimensions.

2. Demand-Adaptive Replication:

  - Based on real-time access, segments adjust their replication count to prioritize frequently accessed files while preserving essential data with minimal replication.

3. Continuous Availability and Self-Healing:

  - Integrity checks validate segment availability. Missing or corrupted segments can be reconstructed through alternative paths, ensuring network-wide resilience and continuity.

Immune System for Threat Detection and Response

To ensure proactive, cellular-like defense against integrity threats, the .seigr format includes an advanced, decentralized Immune System. This system functions much like an organism's immune response, deploying distributed "cells" (nodes) to continuously monitor, detect, and respond to potential file integrity threats.

The Immune System works in tandem with the temporal and adaptive replication features to create a resilient environment for .seigr files, detecting anomalies, triggering security replications, and initiating rollbacks when necessary. This self-healing and responsive approach ensures that integrity breaches are addressed dynamically, enhancing network-wide stability and resilience.

Hyphen Network and Decentralized Data Management

Participants in the Seigr Urcelial-net, known as Hyphens, play a critical role in maintaining, scaling, and verifying .seigr files:

• Data Caching and Scaling Access: Hyphens locally cache segments to ensure high availability, dynamically replicating high-demand segments while tracking access trends.

• Temporal Replication and Demand Scaling: Hyphens use temporal access data to scale replication as needed, creating more copies for high-demand segments while maintaining minimal copies for archived data.

• Integrity Verification Across Temporal Layers: Hyphens validate segment integrity with temporal checks, maintaining continuity and replacing corrupted files, supporting the network's self-healing capacity.

Encoder/Decoder Module with Senary Encoding and Dynamic Retrieval

The Encoder/Decoder Module, using HyphaCrypt, supports multi-layered senary encoding and flexible decoding for adaptive retrieval across Seigr Urcelial-net:

• Temporal Senary Encoding: Encodes binary data in senary format, embedding primary and secondary hashes with temporal layers for optimized data retrieval.

• Flexible Multi-Path Decoding: Decoding pathways leverage segment interconnections across space and time, reconstructing data dynamically and making the data retrieval process resilient to network changes.

Security and Integrity in the .seigr Format

The .seigr format uses sophisticated security protocols to ensure data integrity and adaptability in a decentralized, temporally aware environment:

• Temporal Hash Chaining and Adaptive Salting: Hash chains with adaptive salting provide tamper resistance, ensuring unauthorized changes are detectable across the network's interconnected segments and temporal layers.

• Encryption Compatibility: Files can be encrypted with HyphaCrypt, securing sensitive data with temporal access control and retaining decentralized sharing capabilities.

Future Potential

The .seigr format serves as a foundation for evolving decentralized applications and data structures. As the Seigr Urcelial-net grows, it may incorporate advanced cryptographic layers, more complex metadata relationships, and evolving temporal data dynamics, enhancing both adaptability and resilience.

Conclusion

The .seigr format embodies Seigr’s vision of a dynamic, resilient, and interconnected digital ecosystem. By adopting a multi-dimensional, time-responsive architecture, it transcends traditional data storage and retrieval, creating a network inspired by the mycelium's natural resilience and adaptability.

Inviting scientists, researchers, developers, and contributors to participate, the .seigr format offers a framework for sustainable and community-driven digital infrastructure. As data evolves alongside its network, the .seigr format ensures a future-ready, adaptable data landscape for the next era of decentralized technology.