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
- Enable cross-institution coordination without forcing raw data exposure.
- Support role-specific visibility across Executive, Admin, and Local views.
- Provide verifiable audit trails for every promotion, share, and action.
- Preserve analytical utility while minimizing privacy leakage risk.
- 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:
- Role-scoped delivery prevents unauthorized cross-sector visibility.
- Message lifecycle events are auditable.
- 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\nσ = 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]
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