Semantic Network Diagnostic Tool using LJPW Framework
Network-Pinpointer applies the Love, Justice, Power, Wisdom (LJPW) semantic framework to network administration and diagnostics. It maps network operations, devices, and configurations to a four-dimensional semantic space, enabling unprecedented insights into network infrastructure.
This tool is built on experimental mathematical foundations that treat network operations as semantic primitives in LJPW space:
- Love (L): Connectivity, communication, integration, service sharing
- Justice (J): Rules, policies, validation, security, compliance
- Power (P): Performance, control, execution, resource management
- Wisdom (W): Information, monitoring, diagnostics, analysis
Every network operation can be mapped to coordinates (L, J, P, W) in this 4D space, allowing semantic analysis of network health, harmony, and architecture.
- Semantic Ping: Test connectivity with LJPW coordinate analysis
- Semantic Traceroute: Trace network paths with semantic interpretation
- Semantic Port Scanning: Discover services mapped to semantic space
- Network Interface Analysis: Analyze interfaces through LJPW lens
- Network Topology Mapping: Scan entire networks and cluster by semantic purpose
- Architectural Smell Detection: Identify configuration anti-patterns
- ICE Framework Analysis: Measure Intent-Context-Execution harmony
- Network Optimization: Recommendations based on semantic disharmony
- Semantic coordinate visualization
- Network topology clusters
- Harmony score analysis
- JSON export for integration
# Clone the repository
git clone https://github.com/BruinGrowly/Network-Pinpointer.git
cd Network-Pinpointer
# Install dependencies (optional, for packet capture)
pip install scapy pyyaml
# Make the CLI executable
chmod +x pinpoint
# Run
./pinpoint --helpSee Windows Installation Guide for complete instructions.
Quick start for Windows:
# Install dependencies
pip install scapy pyyaml
# Run with Python
python pinpoint --helpRequirements: Python 3.8+, Npcap (Windows only)
# Ping with semantic analysis
./pinpoint.py ping 8.8.8.8
# Traceroute with semantic path analysis
./pinpoint.py traceroute google.com
# Port scan with service classification
./pinpoint.py scan 192.168.1.1 -p 22,80,443,3389
# Scan port range
./pinpoint.py scan 192.168.1.100 -p 1-1024# Map entire subnet with semantic topology analysis
./pinpoint.py map 192.168.1.0/24
# Export topology to JSON
./pinpoint.py map 192.168.1.0/24 --export-json network_map.json# Analyze any network operation
./pinpoint.py analyze "configure firewall rules to block unauthorized access"
# ICE Framework: Analyze harmony between intent, context, and execution
./pinpoint.py ice \
"establish secure connection to database server" \
"network has firewall with strict outbound rules" \
"open port 3306 and configure mysql connection"| Operation | Love | Justice | Power | Wisdom | Classification |
|---|---|---|---|---|---|
| Ping | High | Low | Low | High | Connectivity Test (Wisdom+Love) |
| Firewall Config | Low | High | Med | Low | Security Policy (Justice) |
| Bandwidth Allocation | Low | Low | High | Low | Performance Control (Power) |
| SNMP Monitoring | Low | Low | Low | High | Information Gathering (Wisdom) |
| VPN Setup | High | Med | Med | Low | Secure Communication (Love+Justice) |
| Load Balancing | High | Low | High | Low | Service Distribution (Love+Power) |
ping 8.8.8.8:
L=0.35 (connectivity test)
J=0.15 (validation)
P=0.10 (minimal execution)
W=0.40 (diagnostic/information)
→ Dominant: Wisdom (Monitoring/Diagnostics)
configure firewall deny all:
L=0.05 (minimal connectivity)
J=0.60 (policy enforcement)
P=0.30 (execution/control)
W=0.05 (minimal info)
→ Dominant: Justice (Security/Policy)
monitor network traffic:
L=0.20 (observing communication)
J=0.15 (checking rules)
P=0.10 (passive action)
W=0.55 (gathering information)
→ Dominant: Wisdom (Monitoring/Diagnostics)
The Intent-Context-Execution (ICE) framework measures harmony between what you want to do, the current network state, and what actually happens.
Example:
./pinpoint.py ice \
"provide fast reliable web service" \
"limited bandwidth high latency network" \
"deploy nginx with caching and compression"Output:
- ICE Coherence: How well intent aligns with execution
- ICE Balance: How realistic the intent is given the context
- Benevolence Score: Focus on connectivity/service (Love dimension)
- Harmony Level: Overall assessment
High harmony = network operations are well-aligned Low harmony = mismatches that may cause issues
The map command scans a network range and clusters devices by semantic purpose:
./pinpoint.py map 192.168.1.0/24Output includes:
- Semantic clusters (Love, Justice, Power, Wisdom dominant devices)
- Architectural smells (security issues, unclear purposes, high latency)
- Optimization opportunities (service consolidation, security upgrades)
- Cohesion scores (how well-defined each cluster is)
Love Cluster (Connectivity-focused devices):
- Web servers (HTTP/HTTPS)
- VPN gateways
- Load balancers
- Communication hubs
Justice Cluster (Policy-focused devices):
- Firewalls
- Authentication servers
- Security gateways
- Access control systems
Power Cluster (Performance-focused devices):
- Application servers
- Database servers
- Compute nodes
- Control systems
Wisdom Cluster (Information-focused devices):
- Monitoring systems
- Log servers
- SNMP agents
- Diagnostic tools
network_pinpointer/
├── semantic_engine.py # Core LJPW semantic engine
├── diagnostics.py # Network diagnostic tools
├── network_mapper.py # Topology mapping and analysis
└── cli.py # Command-line interface
pinpoint.py # Main entry point
NetworkSemanticEngine: Maps network operations to LJPW coordinates NetworkVocabularyManager: 300+ network terms mapped to dimensions NetworkDiagnostics: Traditional tools with semantic layer NetworkMapper: Full network scanning and topology analysis
Network-Pinpointer is based on proven mathematical frameworks:
- LJPW as Orthogonal Basis: Love, Justice, Power, Wisdom form a complete, minimal, orthogonal basis for semantic meaning
- Linear Mixing Formula: Concept coordinates = weighted average of component dimensions
- Distance Metrics: Euclidean distance measures semantic disharmony
- Anchor Point: (1,1,1,1) represents perfect harmony of all dimensions
For details, see the theoretical foundations in sister projects.
- Identify semantic mismatches between intent and execution
- Detect configuration drift from intended purpose
- Find devices with unclear roles
- Discover exposed insecure services (Justice dimension)
- Identify overly complex attack surfaces
- Map security policy enforcement
- Find Power-dominant bottlenecks
- Optimize resource allocation
- Balance load semantically
- Verify network matches documented architecture
- Generate semantic topology maps
- Track configuration drift over time
- Plan new infrastructure using LJPW framework
- Ensure semantic coherence across clusters
- Design for harmony between components
The LJPW semantic framework is under active development. While the mathematical foundations are sound, practical applications to network administration are still being explored.
Current Status:
- ✅ Core semantic engine operational
- ✅ Network vocabulary (300+ terms mapped)
- ✅ Basic diagnostics with semantic layer
- ✅ Topology mapping and clustering
- 🚧 Historical trend analysis (planned)
- 🚧 Predictive harmony modeling (planned)
- 🚧 Integration with existing tools (planned)
$ ./pinpoint.py ping 8.8.8.8
🔍 Pinging 8.8.8.8...
======================================================================
Host: 8.8.8.8
Status: ✓ Reachable
Packets: 4/4 received
Packet Loss: 0.0%
Average Latency: 14.2ms
📊 SEMANTIC ANALYSIS
Coordinates: Coordinates(L=0.286, J=0.143, P=0.000, W=0.571)
Analysis: Operation: Monitoring/Diagnostics (Wisdom-dominant) | Quality: excellent connectivity
Dimension Breakdown:
Love (Connectivity): ████████░░░░░░░░░░░░ 29%
Justice (Validation): ████░░░░░░░░░░░░░░░░ 14%
Power (Execution): ░░░░░░░░░░░░░░░░░░░░ 0%
Wisdom (Diagnostic): ███████████░░░░░░░░░ 57%
$ ./pinpoint.py map 192.168.1.0/24
🔍 Scanning network: 192.168.1.0/24
======================================================================
✅ Scanned 254 hosts, 12 reachable
======================================================================
📊 OVERALL METRICS
Total devices discovered: 12
Average network latency: 3.4ms
🗺️ TOPOLOGY CLUSTERS
💛 Love Cluster (5 devices)
Cohesion: 87%
Avg Coordinates: Coordinates(L=0.654, J=0.123, P=0.112, W=0.111)
• 192.168.1.10 - Web Service (Connectivity)
Ports: 3 open | Latency: 2.1ms
• 192.168.1.20 - Communication Hub (Love)
Ports: 2 open | Latency: 1.8ms
... and 3 more devices
⚖️ Justice Cluster (3 devices)
Cohesion: 92%
Avg Coordinates: Coordinates(L=0.089, J=0.701, P=0.145, W=0.065)
• 192.168.1.1 - Security Gateway (Justice)
Ports: 2 open | Latency: 0.9ms
... and 2 more devices
🚨 NETWORK CONFIGURATION ISSUES (4 detected)
======================================================================
CRITICAL (2 issues):
• Insecure Services: 192.168.1.50
Dangerous ports exposed: [23, 21]
→ Disable insecure protocols. Use SSH/SFTP/encrypted alternatives.
HIGH (1 issues):
• Excessive Open Ports: 192.168.1.100
Device has 15 open ports (threshold: 10)
→ Review and close unnecessary ports. Apply principle of least privilege.
💡 OPTIMIZATION OPPORTUNITIES (Top 5)
======================================================================
1. 192.168.1.10 - Security Upgrade
Potential improvement: 70%
HTTP service without HTTPS
Suggested actions:
→ Enable HTTPS/TLS encryption
→ Redirect HTTP to HTTPS
→ Obtain SSL certificate
$ ./pinpoint.py ice \
"secure fast database connection" \
"firewalled network with limited bandwidth" \
"open mysql port enable caching"
🔍 ICE HARMONY ANALYSIS
======================================================================
Intent: secure fast database connection
Context: firewalled network with limited bandwidth
Execution: open mysql port enable caching
📊 HARMONY METRICS
ICE Coherence: 68%
ICE Balance: 72%
Overall Harmony: 70%
Harmony Level: GOOD_HARMONY
Benevolence Score: 35%
Intent-Execution Disharmony: 0.524
💡 RECOMMENDATIONS
✓ Moderate harmony - minor misalignment between components
This is experimental research. Contributions, feedback, and discussion are welcome!
Areas of interest:
- Expanding network vocabulary coverage
- Validating semantic mappings empirically
- Integration with existing network tools
- Historical analysis and drift detection
- Cross-network pattern recognition
See LICENSE file.
- Python-Code-Harmonizer: Applies LJPW framework to code analysis
- DIVE-V2 Engine: Core semantic substrate engine
If you use this work in research:
Network-Pinpointer: Semantic Network Diagnostic Tool
Using Love-Justice-Power-Wisdom (LJPW) Framework
2025
Built with the LJPW Semantic Framework Love • Justice • Power • Wisdom