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GyroAuth v2.1.0 — Guarded Criterion Trajectories and Research Demo Latest

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gitGyro-Dev released this 26 Jul 04:13

v2.1.0

0bda725

GyroAuth v2.1.0 — Guarded Criterion Trajectories and Research Demo

Summary

GyroAuth v2.1.0 adds the guarded criterion-update research track, deterministic proof-of-concept scenarios, publication artifacts, and a minimal GitHub Pages research demo.

This release preserves the foundational definition:

Authentication = Stability-based Selection over State Convergence

and makes the following distinctions explicit:

Subject Evaluation
!=
Criterion Integrity Evaluation

Auth Decision
!=
Criterion Update Response

Criterion Update Candidate
!=
Accepted Criterion

A central executable combination is:

AUTH_STABLE + FREEZE

The current authentication relation may continue while adaptation of the future authentication criterion is blocked.

Highlights

Guarded Criterion Trajectories

Introduces Criterion Integrity Evaluation as a separate application-layer decision process.
Represents authentication-criterion change as a guarded, traceable trajectory.
Adds Criterion Update Responses:
- ACCEPT
- DEFER
- FREEZE
- REVIEW
- ROLLBACK
Preserves the position:

dynamic criterion
!=
unconstrained self-update

Deterministic PoC

The release includes three fixed scenarios:

N1 — Legitimate New Device Transition
- REAUTH_REQUIRED → AUTH_STABLE → AUTH_STABLE
- DEFER → ACCEPT → ACCEPT
P1 — Gradual Region Expansion Poisoning
- direct adoption expands the criterion until the attack reference becomes admissible;
- guarded adoption produces DEFER → FREEZE → FREEZE and preserves the trusted criterion;
- Stage 2 demonstrates AUTH_STABLE + FREEZE.
C1 — Single Evidence Source Compromise
- apparently strong evidence does not override insufficient source integrity and weak cross-evidence consistency;
- the guarded response remains FREEZE.

Relevant artifacts:

scripts/simulate_guarded_criterion_update.py
examples/criterion_update/scenarios.json
results/criterion_update_summary.json

Publication Artifacts

English and Japanese Guarded Criterion Trajectories manuscripts.
Canonically numbered figures 1–6.
Automated PDF generation, A4/size/text/image checks, and repository commit workflow.
English manuscript submitted to Jxiv and currently under review.
Japanese manuscript prepared as a submission candidate.

Publication files:

publications/guarded_criterion_trajectories/jxiv_submission/
├── guarded_criterion_trajectories_en.pdf
└── guarded_criterion_trajectories_jp.pdf

GitHub Pages Research Demo

A static research demo is available at:

https://gitgyro-dev.github.io/gyroauth/

The demo provides:

N1 / P1 / C1 scenario selection;
stage-by-stage Auth Decision and Criterion Update Response;
current criterion center and width;
attack-reference admissibility;
direct-versus-guarded comparison;
explicit visualization of AUTH_STABLE + FREEZE.

The demo uses HTML, CSS, Vanilla JavaScript, and static data only. It does not use an external API, backend service, production credentials, or real authentication telemetry.

Scope and Non-Guarantees

This release is a deterministic research implementation.

It is not:

a production authentication service;
a universal criterion-poisoning detector;
a guarantee of zero false accepts or false rejects;
a replacement for passwords, passkeys, MFA, authenticators, or assurance frameworks;
a redefinition of Gyro Logic or the GyroOS runtime contract.

Layer Consistency

Gyro Logic = Theory
GyroOS     = Execution System
GyroAuth   = Authentication Application

Gyro Logic Core remains unchanged.
GyroOS runtime responsibilities remain unchanged.
This release extends only the GyroAuth application layer with criterion-integrity evaluation, research artifacts, and visualization.

GyroAuth v2.0 — Authentication as Stability-based Selection

This release marks the first working Proof of Concept of GyroAuth.

GyroAuth is an authentication system where identity is evaluated not by exact matching, but by stability under deviation.

🔥 What’s New

FastAPI-based authentication API
Multi-slice observation model (Space / Time / Device / Behavior / Network / Motion)
Stability-based decision engine
Continuous authentication states:
- AUTH_STABLE
- RECONVERGING
- AUTH_FAIL
Real-time stability visualization
End-to-end working PoC

🧠 Core Concept

Authentication = Stability-based Selection

Instead of:

Match → Success / Fail

GyroAuth performs:

Observe → Deviation → Stability → Selection → Auth

⚙️ What This Release Demonstrates

Identity can remain valid under deviation
Authentication is continuous, not binary
Stability collapse corresponds to attack scenarios
Re-convergence is possible before failure

📊 Included Demo

FastAPI PoC (/observe, /authenticate)
Multi-step session simulation
Stability timeline graph
Attack scenario reproduction

🔗 Repository

https://github.com/gitGyro-Dev/gyroauth

🔴 Key Insight

Identity is not a fixed value.

It is a stable trajectory.

🚧 Notes

GyroOS integration is currently abstracted
Stability computation is simplified for PoC
Future versions will connect directly to GyroOS

🎯 Purpose of This Release

This is not a theoretical concept.

This release demonstrates that:

👉 Stability-based authentication is implementable
👉 Identity can be evaluated as a dynamic system

🔚 Final Statement

Authentication is not about perfect reproduction.

It is about whether identity still holds under change.

Assets 2

GyroAuth v1.5 — From State Convergence to Executable Authentication

gitGyro-Dev released this 15 Apr 23:37

v1.5

7acfa72

GyroAuth v1.5

From State Convergence to Executable Authentication

Overview

This release transforms GyroAuth from a conceptual framework into an executable proof-of-concept (PoC).

While previous versions introduced authentication as state convergence, this version demonstrates how the idea can be implemented as a working system.

What’s New

1. Full Authentication Pipeline

A complete pipeline has been implemented:

Assets 2

GyroAuth v1.3 — Authentication as State Convergence

gitGyro-Dev released this 13 Apr 13:27

v1.3

b268dbb

GyroAuth v1.3

This release aligns GyroAuth with Gyro Logic v2.0:

https://doi.org/10.5281/zenodo.19555020

Authentication is defined as:

State Convergence

Status

Theory connected
Concept clarified

Assets 2

GyroAuth v1.2 — Authentication as State Convergence

gitGyro-Dev released this 09 Apr 07:12

v1.2

27af1ce

GyroAuth v1.2 — Authentication as State Convergence

This release refines GyroAuth from a conceptual model into a structured convergence-based authentication framework.

GyroAuth redefines authentication as a continuous process:

Authentication = State Convergence

Instead of verifying static credentials, GyroAuth evaluates whether a user's state continuously converges across time, space, motion, and device context.

Key updates in v1.2:

Formalized convergence-based authentication model
Integration of dynamic state evaluation (continuous authentication)
Introduction of trajectory-based identity representation
Time-decay model: authentication validity decreases over time
Multi-dimensional convergence (space, time, motion, device)
Initial alignment with underlying theoretical framework (Gyro Logic)

Core principles:

Authentication is not a point, but a trajectory
Authentication is not static, but continuously evaluated
Stolen credentials become useless over time
Identity emerges from stable behavioral convergence

This version focuses on:

Conceptual clarity
Structural consistency
Readability for both technical and non-technical audiences

We are currently exploring:

Proof of Concept (PoC) implementations
Security architecture applications
Licensing and commercial use cases

Status:
Concept → Structure → Early Implementation

GyroAuth represents a shift from authentication as verification to authentication as dynamic convergence.

Assets 2

GyroAuth v1.1 — Authentication as State Convergence

gitGyro-Dev released this 09 Apr 04:30

v1.1

4227edd

GyroAuth v1.1 — Authentication as State Convergence

This release introduces the core conceptual model of GyroAuth:

Authentication is not a point, but a trajectory
Authentication is not static, but converging
Authentication decays over time

This version includes:

Core concept definitions
State convergence model
Visual diagrams (Trajectory / Convergence / Time Decay)
Initial architecture direction

GyroAuth reframes authentication from static verification to dynamic convergence across time, space, motion, and device context.

We are exploring:

Proof of Concept implementations
Security architecture applications
Licensing opportunities

This is an early-stage conceptual release.

Assets 2

GyroAuth v1.0.0 — Initial Public Concept Release

gitGyro-Dev released this 06 Apr 01:49

v1.0.0

84cb45a

This is the first public release of GyroAuth, a GyroLogic-based authentication framework.

GyroAuth redefines authentication as:

multi-dimensional state convergence across space, time, motion, and device context.

Key idea:

Authentication succeeds only when the correct state exists at the correct place and time.

This release includes:

Concept definition
Mathematical model
Core architecture
PoC design
Business positioning

Relationship to GyroLogic:
https://github.com/gitGyro-Dev/gyroos

Note:
This is not a production implementation.
This repository provides a protocol and conceptual architecture.

Vision:

Authentication is no longer about secrets.
It is about existence in space-time.

Assets 2

Releases: gitGyro-Dev/gyroauth

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