Desktop Network Security & Analytics Suite
Budget: $750 – $1,500 USD
I need a single, well-integrated program that protects a small-to-medium local network and lets me see exactly what is happening on it at any moment. The core security layer must focus on two capabilities: real-time intrusion detection that can flag suspicious packets or behaviour before damage is done, and built-in data encryption so information travelling inside the LAN or leaving it through defined gateways stays unreadable to unauthorised parties.
Alongside those defences, the same application has to give me actionable network intelligence. I want to track live and historical traffic patterns, drill down into individual user activity, and measure performance metrics such as latency, throughput, and error rates. All of this should surface through a clean desktop interface that runs on Windows; cross-platform support (macOS or Linux) would be a welcome bonus but is not mandatory as long as Windows functionality is rock-solid.
Preferred stack and workflow are open—Python (e.g., leveraging Scapy, Zeek, or PyShark), C# (.NET), or Java are all fine. If you plan to integrate existing open-source IDS engines like Snort or Suricata, outline how you’ll wrap them in the desktop UI and handle rule updates. An embedded database or flat-file logging mechanism is also needed for storing events and statistics.
Deliverables
• Installer or easy deployment script for the desktop application
• Real-time dashboard showing intrusion alerts, traffic graphs, user sessions, and key performance indicators
• Configurable encryption module with algorithm choice (AES-256 by default) and key management options
• Exportable logs/reports (CSV or JSON) and a way to schedule automatic report generation
• Clear documentation: setup guide, user manual, and concise developer notes for future maintenance
Acceptance criteria
The program must detect and log simulated intrusion attempts within a controlled test; encrypt/decrypt test data without corruption; and display accurate, up-to-date analytics with refresh intervals under five seconds on a typical gigabit LAN.
If this matches your skill set, let me know which technologies you’d use and a rough timeline so we can move forward quickly.
Alongside those defences, the same application has to give me actionable network intelligence. I want to track live and historical traffic patterns, drill down into individual user activity, and measure performance metrics such as latency, throughput, and error rates. All of this should surface through a clean desktop interface that runs on Windows; cross-platform support (macOS or Linux) would be a welcome bonus but is not mandatory as long as Windows functionality is rock-solid.
Preferred stack and workflow are open—Python (e.g., leveraging Scapy, Zeek, or PyShark), C# (.NET), or Java are all fine. If you plan to integrate existing open-source IDS engines like Snort or Suricata, outline how you’ll wrap them in the desktop UI and handle rule updates. An embedded database or flat-file logging mechanism is also needed for storing events and statistics.
Deliverables
• Installer or easy deployment script for the desktop application
• Real-time dashboard showing intrusion alerts, traffic graphs, user sessions, and key performance indicators
• Configurable encryption module with algorithm choice (AES-256 by default) and key management options
• Exportable logs/reports (CSV or JSON) and a way to schedule automatic report generation
• Clear documentation: setup guide, user manual, and concise developer notes for future maintenance
Acceptance criteria
The program must detect and log simulated intrusion attempts within a controlled test; encrypt/decrypt test data without corruption; and display accurate, up-to-date analytics with refresh intervals under five seconds on a typical gigabit LAN.
If this matches your skill set, let me know which technologies you’d use and a rough timeline so we can move forward quickly.
Related categories:
C Programming
Python
.NET
C# Programming
C++ Programming
Network Security
Database Management