Omega Watermark
NOTE // April 05, 2026

KCollab Architecture

Collaborative platform connecting stakeholders for joint planning and responses.

KCollab — Aegis Federation & Secure Collaboration

KCollab is a collaborative platform that connects stakeholders—such as government agencies, businesses, and researchers—to coordinate responses and share insights via secure privacy-preserving protocols.


1. Collaboration, Data Sharing, Privacy, and Encryption Architecture

This section documents how institutions collaborate through the dashboard while preserving privacy, enforcing consent boundaries, and protecting data in transit and at rest.

1.1 Collaboration Design Goals

  1. Enable cross-institution coordination without forcing raw data exposure.
  2. Support role-specific visibility across Executive, Admin, and Local views.
  3. Provide verifiable audit trails for every promotion, share, and action.
  4. Preserve analytical utility while minimizing privacy leakage risk.
  5. Enforce secure transport and cryptographic integrity end to end.

1.2 Collaboration Architecture (Dashboard + Backend)

flowchart LR
    subgraph Local[Local Institution Dashboard]
        L1[Signal Analysis]
        L2[Inbox]
        L3[Collaboration Room]
        L4[Data Sharing Preferences]
    end

    subgraph Admin[Admin Governance Dashboard]
        A1[Spoke Reports]
        A2[Data Sharing Manager]
        A3[Escalation Controls]
        A4[Operational Projects]
    end

    subgraph Exec[Executive Dashboard]
        E1[Threat Intelligence]
        E2[National Briefing]
        E3[Coordination Recommendations]
    end

    subgraph Services[Collaboration Services]
        S1[SecureMessaging]
        S2[DeltaSyncManager]
        S3[ProjectManager]
        S4[Audit Logger]
    end

    subgraph Privacy[Privacy + Federation]
        P1[Policy/Consent Gate]
        P2[Differential Privacy Layer]
        P3[Federated Aggregator]
    end

    L1 --> S2
    L2 --> S1
    L3 --> S1
    L4 --> P1
    P1 --> A2
    A1 --> A3
    A3 --> S2
    S2 --> E1
    S2 --> E2
    E3 --> S1

    L1 --> P2 --> P3
    P3 --> A4

    S1 --> S4
    S2 --> S4
    P1 --> S4

1.3 Collaboration Room and Messaging Flow

flowchart TD
    C1[Institution User Action] --> M1[SecureMessaging]
    M1 --> M2[Role + Scope Authorization]
    M2 --> M3[Delivery Queue]
    M3 --> M4[Recipient Inbox]
    M4 --> M5[Acknowledgement / Follow-up]
    M5 --> AUD[Audit Trail]

Messaging design properties:

  1. Role-scoped delivery prevents unauthorized cross-sector visibility.
  2. Message lifecycle events are auditable.
  3. Collaboration threads can be linked to projects and escalation events.

2. Aegis Federation Protocol

sequenceDiagram
    participant N1 as Institution Node A
    participant N2 as Institution Node B
    participant G as Gossip Layer
    participant AGG as Global Aggregator
    participant META as Meta-Learning Agent

    N1->>N1: Local training on sector data
    N2->>N2: Local training on sector data

    N1->>N1: Apply Local DP (Laplace noise)
    N2->>N2: Apply Local DP (Laplace noise)

    N1->>N1: Q8 quantize update
    N2->>N2: Q8 quantize update

    N1->>G: Gossip broadcast (HKDF-SHA256 masked)
    N2->>G: Gossip broadcast (HKDF-SHA256 masked)

    G->>G: Exponential time-decay merge\nAge-weighted aggregation

    G->>AGG: Basket-level consensus update

    AGG->>AGG: Byzantine defense\nKrum  Multi-Krum  Bulyan
    AGG->>AGG: Trimmed-Mean OR Element-wise Median
    AGG->>AGG: Apply Central DP (Gaussian noise)
    AGG->>AGG: Update trust scores\n(Agreement 60% / Compliance 30% / Impact 10%)

    AGG->>META: Aggregated gradient
    META->>META: Reptile optimizer step\nGlobal Prior update

    META->>N1: Broadcast new global prior
    META->>N2: Broadcast new global prior

2.1 Differential Privacy Pipeline

flowchart LR
    I[Local Model Update] --> LDP[Local DP Noise]
    LDP --> Q[Quantization / Normalization]
    Q --> SEC[Secure Aggregation Exchange]
    SEC --> AGG[Robust Aggregation]
    AGG --> CDP[Central DP Noise]
    CDP --> OUT[Global Update + Metadata]

3. Security Architecture & Encryption Model

flowchart TD
    subgraph Clearance["Security Lattice"]
        L4[TOP_SECRET]
        L3[SECRET]
        L2[RESTRICTED]
        L1[UNCLASSIFIED]
        L4 --> L3 --> L2 --> L1
    end

    subgraph Auth["Authentication Layers"]
        A1[Institution: PBKDF2-SHA256\n200,000 iterations]
        A2[Module Access: SHA256 gate codes]
        A3[Federation: Ed25519 signatures]
        A4[Pairwise: HKDF-SHA256 masking]
    end

    subgraph Privacy["Privacy Guarantees"]
        P1[Local DP: Laplace noise on weights]
        P2[Central DP: Gaussian noise on aggregate\ = sensitivity × 2ln(1.25/δ) / ε]
        P3[Q8 quantization: economic precision preserved]
        P4[L2 materiality check: suppress trivial updates]
    end

    subgraph Trust["Trust Scoring"]
        T1[Agreement score: 60% weight]
        T2[Compliance score: 30% weight]
        T3[Impact score: 10% weight]
        T1 & T2 & T3 --> T4{Trust < 0.2?}
        T4 -->|Yes| T5[Sandboxed: packets accepted\nbut silently discarded]
        T4 -->|No| T6[Normal aggregation]
    end

3.1 Encryption and Integrity Model

sequenceDiagram
    participant Node as Institution Node
    participant Mesh as Collaboration/Federation Mesh
    participant Agg as Aggregator Service
    participant Dash as Dashboard Services

    Node->>Node: Sign payload (Ed25519 identity)
    Node->>Mesh: Encrypt exchange channel (ephemeral key agreement)
    Mesh->>Agg: Forward masked contribution
    Agg->>Agg: Verify signature + trust policy
    Agg->>Dash: Publish accepted aggregate metadata
    Dash->>Dash: Persist audit record with immutable event id

4. Report Export Pipeline

flowchart TD
    A[Any Institution Dashboard\nExecutive · Admin · Developer · Spoke] --> B[UnifiedReportExport]

    B --> C1[ReportNarrator\nPlain-language narrative generation]
    B --> C2[MetricsExtractor\nHeadline indicator values]
    B --> C3[StructuredAppendix\nTechnical JSON payload]

    C1 --> D[report_summary.txt\nNon-technical audience]
    C2 --> E[metrics.csv\nHeadline values]
    C3 --> F[report_payload.json\nStructured technical appendix]
    B --> G[Optional table CSVs]

    D & E & F & G --> H[ZIP Archive]
    H --> I[PDF Export\nPrimary format with instant-analysis interpretation]

    style I fill:#1a6b3c,color:#fff