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pos-system/docs/en/architecture/security-architecture.md

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Security Architecture

Comprehensive security architecture for GoodGo platform with zero-trust model, RBAC, and compliance

Overview Diagram

graph TD
    Request[Client Request] --> TLS[TLS/HTTPS Layer]
    TLS --> RateLimit[Rate Limiting]
    RateLimit --> JWT[JWT Validation]
    JWT --> RBAC[RBAC Authorization]
    RBAC --> ZeroTrust[Zero-Trust Checks]
    ZeroTrust --> Service[Service Logic]
    
    Service --> Encrypt[Data Encryption<br/>AES-256-GCM]
    Encrypt --> DB[(Encrypted Data)]
    
    Service --> Audit[Audit Logging]
    Audit --> AuditDB[(Audit Trail<br/>7-year retention)]
    
    style TLS fill:#d4edda
    style JWT fill:#e1f5ff
    style Encrypt fill:#f8d7da
    style Audit fill:#fff4e1

Architecture Description

The GoodGo Security Architecture implements defense-in-depth with multiple security layers:

Security Principles:

  1. Zero Trust: Never trust, always verify
  2. Least Privilege: Minimum required permissions
  3. Defense in Depth: Multiple security layers
  4. Audit Everything: Complete audit trail
  5. Encryption: Data encrypted at rest and in transit

Key Components:

  • JWT Authentication (15min access, 7d refresh)
  • RBAC + ABAC Authorization
  • Zero-Trust Device Validation
  • AES-256-GCM Encryption
  • Event Sourcing for Audit Trail
  • Compliance (GDPR, SOC2, ISO27001, HIPAA)

Authentication Flow

sequenceDiagram
    participant Client
    participant API as API Gateway
    participant IAM as IAM Service
    participant DB as Database
    participant Cache as Redis
    
    Client->>API: Login Request<br/>(email + password)
    API->>IAM: Forward Request
    IAM->>DB: Verify Credentials
    DB-->>IAM: User + Hash
    IAM->>IAM: bcrypt.compare()<br/>(cost 12)
    
    alt Valid Credentials
        IAM->>IAM: Generate Tokens<br/>(Access + Refresh)
        IAM->>DB: Store Refresh Token<br/>(hashed SHA-256)
        IAM->>Cache: Cache Permissions<br/>(5min TTL)
        IAM-->>API: Tokens + User
        API-->>Client: Set httpOnly Cookies
    else Invalid
        IAM-->>Client: 401 Unauthorized
    end

Authentication Details:

1. Password Hashing:

  • Algorithm: bcrypt with cost factor 12
  • Never store plaintext passwords
  • Minimum password: 8 chars with complexity rules

2. JWT Tokens:

  • Access Token: 15 minutes expiry
  • Refresh Token: 7 days expiry
  • Algorithm: RS256 (asymmetric signing)
  • Payload: userId, roles, permissions

3. Token Storage:

  • Access: httpOnly cookie (secure, sameSite)
  • Refresh: Database SHA-256 hash
  • Rotation: New refresh token on each use

4. MFA Support:

  • TOTP (Time-based One-Time Password)
  • Backup codes (10 single-use)
  • Recovery email verification

Authorization Model

graph TD
    User[User] --> Roles[Roles]
    User --> DirectPerms[Direct Permissions]
    
    Roles --> RolePerms[Role Permissions]
    
    RolePerms --> Check{Permission Check}
    DirectPerms --> Check
    
    Check -->|Granted| Resource[Access Resource]
    Check -->|Denied| Reject[403 Forbidden]
    
    subgraph "Permission Model"
        Perm[Permission<br/>resource:action:scope]
    end
    
    style Check fill:#e1f5ff
    style Perm fill:#fff4e1

RBAC (Role-Based Access Control):

1. Role Hierarchy:

SuperAdmin > OrgAdmin > Manager > User > Guest

2. Permission Format: resource:action:scope

  • Resource: users, roles, permissions
  • Action: create, read, update, delete
  • Scope: own, org, global

Examples:

  • users:read:own - Read own user profile
  • users:update:org - Update users in organization
  • roles:create:global - Create roles globally

3. Permission Caching:

// Cache key: user:{userId}:permissions
// TTL: 5 minutes
// Invalidate on: role change, permission change

Zero-Trust Architecture

graph TD
    Request[Request] --> Device[Device Fingerprint]
    Device --> IP[IP Address Validation]
    IP --> Behavior[Behavioral Analysis]
    Behavior --> Session[Session Binding]
    
    Session -->|Valid| Allow[Allow Request]
    Session -->|Suspicious| MFA[Require MFA]
    Session -->|Anomaly| Block[Block + Alert]
    
    style Block fill:#f8d7da
    style MFA fill:#fff3cd
    style Allow fill:#d4edda

Zero-Trust Components:

1. Device Fingerprinting:

  • Browser: User-Agent, Canvas, WebGL
  • Screen resolution, timezone, language
  • Plugin detection, fonts available
  • Hash fingerprint → Store with session

2. IP Address Validation:

  • Whitelist known IPs per user
  • Alert on new IP + require MFA
  • Block suspicious IPs (VPN, Tor)

3. Behavioral Analysis:

  • Login patterns (time, location)
  • API usage patterns
  • Failed auth attempts
  • Alert on anomalies

4. Session Binding:

  • Bind session to device fingerprint
  • Bind session to IP address
  • Invalidate on mismatch

Data Protection

Encryption Strategy:

1. Data at Rest:

  • PII: AES-256-GCM encryption
  • Passwords: bcrypt (cost 12)
  • Tokens: SHA-256 hash
  • Keys: Environment variables + K8s secrets

2. Data in Transit:

  • TLS 1.2+ for all communications
  • HTTPS enforcement
  • Certificate pinning (mobile clients)

3. Key Management:

  • Unique key per encryption operation
  • 32+ character ENCRYPTION_KEY
  • Rotate keys quarterly
  • Never hardcode secrets

Compliance & Audit

Compliance Requirements:

1. GDPR:

  • Right to erasure (soft delete + hard delete after 90 days)
  • Data portability (export user data)
  • Consent management
  • Breach notification (72 hours)

2. SOC2:

  • Access controls (RBAC)
  • Encryption at rest and in transit
  • Audit logging (7-year retention)
  • Incident response plan
// Event sourcing for all auth events
{
  eventType: 'auth.login.success',
  userId: 'user_123',
  timestamp: '2024-01-15T10:30:00Z',
  ipAddress: '192.168.1.1',
  deviceFingerprint: 'fp_xyz',
  metadata: {...}
}

System Context

C4Context
    title Security Architecture Context
    
    Person(user, "User", "End user accessing platform")
    Person(admin, "Admin", "System administrator")
    Person(attacker, "Attacker", "Potential threat actor")
    
    System(iam, "IAM Service", "Authentication & Authorization")
    
    System_Ext(db, "Neon PostgreSQL", "Encrypted user credentials & sessions")
    System_Ext(cache, "Redis", "Permission & session cache")
    System_Ext(audit, "Audit Service", "Security event logging")
    System_Ext(mfa, "MFA Provider", "TOTP verification")
    System_Ext(monitoring, "Security Monitoring", "SIEM & alerting")
    
    Rel(user, iam, "Authenticates", "HTTPS + TLS 1.2+")
    Rel(admin, iam, "Manages permissions", "HTTPS + TLS 1.2+")
    Rel(attacker, iam, "Blocked by security layers", "")
    
    Rel(iam, db, "Stores credentials", "PostgreSQL + TLS")
    Rel(iam, cache, "Caches permissions", "Redis + TLS")
    Rel(iam, audit, "Logs security events", "Kafka")
    Rel(iam, mfa, "Verifies MFA", "HTTPS")
    Rel(iam, monitoring, "Sends security metrics", "Prometheus + Loki")

Context Description:

  • IAM Service: Central authentication and authorization
  • Database: Stores encrypted credentials, sessions, permissions
  • Cache: Caches permissions and sessions to reduce database load
  • Audit Service: Receives and stores all security events
  • MFA Provider: External TOTP verification service (Google Authenticator compatible)
  • Security Monitoring: SIEM (Security Information and Event Management) and alerting

Database Architecture

erDiagram
    User ||--o{ Session : has
    User ||--o{ UserRole : has
    User ||--o{ UserPermission : has
    User ||--o{ MFADevice : has
    User ||--o{ LoginHistory : has
    User ||--o{ DeviceFingerprint : has
    
    Role ||--o{ UserRole : assigned_to
    Role ||--o{ RolePermission : has
    
    Permission ||--o{ RolePermission : granted_to
    Permission ||--o{ UserPermission : granted_to
    
    Organization ||--o{ User : contains
    Organization ||--o{ Role : defines
    
    User {
        string id PK "CUID"
        string email UK "Unique, indexed"
        string passwordHash "bcrypt cost 12"
        string organizationId FK
        boolean mfaEnabled "MFA required?"
        datetime lastLoginAt "Tracking"
        datetime createdAt "Timestamp"
        datetime updatedAt "Timestamp"
        datetime deletedAt "Soft delete"
    }
    
    Session {
        string id PK "CUID"
        string userId FK
        string refreshTokenHash "SHA-256"
        string deviceFingerprint "Hashed"
        string ipAddress "IPv4/IPv6"
        string userAgent "Browser info"
        datetime expiresAt "7 days TTL"
        datetime lastActivityAt "Tracking"
        datetime createdAt "Timestamp"
    }
    
    Role {
        string id PK "CUID"
        string name "role-name"
        string organizationId FK
        int hierarchy "Priority level"
        boolean isSystem "Built-in?"
        datetime createdAt "Timestamp"
    }
    
    Permission {
        string id PK "CUID"
        string resource "users, roles, etc"
        string action "create, read, update, delete"
        string scope "own, org, global"
        datetime createdAt "Timestamp"
    }
    
    MFADevice {
        string id PK "CUID"
        string userId FK
        string type "totp, backup"
        string secret "Encrypted TOTP secret"
        boolean verified "Verified?"
        datetime lastUsedAt "Tracking"
        datetime createdAt "Timestamp"
    }
    
    LoginHistory {
        string id PK "CUID"
        string userId FK
        boolean success "Success/Failure"
        string ipAddress "IPv4/IPv6"
        string deviceFingerprint "Hashed"
        string failureReason "If failed"
        datetime timestamp "Event time"
    }
    
    DeviceFingerprint {
        string id PK "CUID"
        string userId FK
        string fingerprint "Hashed"
        boolean trusted "Auto-approved?"
        datetime firstSeenAt "First use"
        datetime lastSeenAt "Last use"
    }

Description:

  • User: Stores hashed credentials, MFA settings, organization membership
  • Session: Stores hashed refresh tokens, device fingerprint, IP tracking
  • Role & Permission: RBAC hierarchy with system roles and custom roles
  • MFADevice: TOTP secrets (encrypted), backup codes
  • LoginHistory: Audit trail for all login attempts (success/failure)
  • DeviceFingerprint: Trusted device tracking for zero-trust model

Database Security:

  • Password hashes: bcrypt with cost factor 12
  • Token hashes: SHA-256
  • MFA secrets: AES-256-GCM encryption
  • Soft deletes: deletedAt field, hard delete after 90 days (GDPR)
  • Indexes: email (unique), userId (foreign keys), timestamps

Design Decisions

Decision 1: JWT with RS256 (Asymmetric)

Context: Need stateless authentication with ability to verify tokens in multiple services

Decision: Use JWT with RS256 (RSA asymmetric signing) instead of HS256 (HMAC symmetric)

Consequences:

  • Positive:
    • Services can verify tokens with public key, don't need secret
    • Easier key rotation (only distribute new public key)
    • Higher security (private key only in IAM service)
    • Compliance: Clear audit trail of who signs tokens
  • Negative:
    • Slightly slower than HS256 (~10-20% slower)
    • More complex key management
    • Public/private key pair must be carefully protected

Alternatives: HS256 (symmetric), EdDSA, OAuth 2.0 with Opaque Tokens

Decision 2: Zero-Trust Model with Device Fingerprinting

Context: Need to protect against credential theft, session hijacking, and unauthorized access

Decision: Implement zero-trust model with device fingerprinting, IP validation, behavioral analysis

Consequences:

  • Positive:
    • Detect anomalies (new device, new IP, unusual behavior)
    • Increased security by detecting and blocking suspicious activities
    • Compliance: SOC2, ISO27001 requirements
    • User experience: Auto-approve trusted devices
  • Negative:
    • Higher complexity
    • Potential false positives (legitimate users blocked)
    • Performance overhead (fingerprint hash, IP check)
    • Privacy concerns (tracking devices, IPs)

Alternatives: Basic authentication only, IP whitelist only, MFA required for all

Decision 3: Event Sourcing for Audit Trail

Context: Need immutable audit trail for compliance (GDPR, SOC2, HIPAA) and security forensics

Decision: Use event sourcing pattern to store all auth/security events

Consequences:

  • Positive:
    • Immutable audit trail (cannot modify/delete)
    • Complete history of all security events
    • Compliance: GDPR (7-year retention), SOC2, HIPAA
    • Security forensics: Trace back attacks, breaches
    • Replay events to reconstruct state
  • Negative:
    • High storage cost (retain 7 years)
    • Complexity in event schema versioning
    • Performance: Event publishing overhead
    • Data privacy: Must anonymize PII after retention period

Alternatives: Database audit logs only, External SIEM only, No audit trail

Performance Characteristics

Metric Target Notes
Login Time (P95) < 500ms Including bcrypt verification
Login Time (P99) < 1s Peak load
Token Generation (P95) < 50ms JWT sign with RS256
Token Verification (P95) < 10ms JWT verify with public key
Permission Check (P95) < 5ms From cache (L1 or L2)
Permission Check (Cache Miss) < 50ms Database query
MFA Verification (P95) < 100ms TOTP validation
Session Lookup (P95) < 10ms Redis cache
Password Hash (P95) < 200ms bcrypt cost 12
Device Fingerprint Hash < 5ms SHA-256
Failed Login Rate Limit 5 attempts / 15min Per user
Auth Throughput 500 req/s Per IAM instance

Performance Optimizations:

  • Permission Caching: L1 (memory) + L2 (Redis), TTL 5 minutes
  • Token Caching: Cache public key in memory for JWT verification
  • Connection Pooling: Reuse database connections
  • Async Operations: Event publishing, audit logging (fire-and-forget)
  • Rate Limiting: Prevent brute force attacks, reduce load
  • Horizontal Scaling: Multiple IAM service instances

Deployment

graph TD
    subgraph "Security Layer"
        LB[Load Balancer<br/>TLS Termination]
        WAF[WAF / Firewall<br/>Rate Limiting<br/>DDoS Protection]
    end
    
    subgraph "IAM Service Layer"
        IAM1[IAM Service Pod 1<br/>Stateless]
        IAM2[IAM Service Pod 2<br/>Stateless]
        IAM3[IAM Service Pod 3<br/>Stateless]
    end
    
    subgraph "Data Layer"
        DB[(Neon PostgreSQL<br/>Encrypted at Rest)]
        Cache[(Redis Cluster<br/>TLS Enabled)]
        Vault[Secrets Manager<br/>K8s Secrets]
    end
    
    subgraph "Security Monitoring"
        SIEM[SIEM / Security Monitoring]
        Alerts[Alerting System]
    end
    
    Client[Clients] --> LB
    LB --> WAF
    WAF --> IAM1
    WAF --> IAM2
    WAF --> IAM3
    
    IAM1 --> DB
    IAM1 --> Cache
    IAM1 --> Vault
    
    IAM2 --> DB
    IAM2 --> Cache
    IAM2 --> Vault
    
    IAM3 --> DB
    IAM3 --> Cache
    IAM3 --> Vault
    
    IAM1 -.->|Security Events| SIEM
    IAM2 -.->|Security Events| SIEM
    IAM3 -.->|Security Events| SIEM
    
    SIEM -.->|Alerts| Alerts
    
    style LB fill:#d4edda
    style WAF fill:#fff3cd
    style DB fill:#f0e1ff
    style Cache fill:#fff4e1
    style Vault fill:#f8d7da
    style SIEM fill:#e1f5ff

Deployment Strategy:

Security Deployment:

  • TLS 1.2+ Enforcement: All connections require TLS
  • Network Policies (K8s): Deny all by default, whitelist specific services
  • Pod Security Policies: Non-root user, read-only filesystem, no privilege escalation
  • Secrets Management: Kubernetes secrets with encryption at rest
  • Image Scanning: Trivy/Clair scan before deployment
  • RBAC (K8s): Least privilege for service accounts

Resource Allocation:

Component CPU Memory Replicas
IAM Service 500m 1GB 3-10 (HPA)
Redis 1 core 2GB 3 masters + 3 slaves

Security Configuration:

# K8s Network Policy
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: iam-service-policy
spec:
  podSelector:
    matchLabels:
      app: iam-service
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: api-gateway
    ports:
    - protocol: TCP
      port: 5000
  egress:
  - to:
    - podSelector:
        matchLabels:
          app: postgresql
    ports:
    - protocol: TCP
      port: 5432