HookProbe is an open-source AI-native intrusion detection system (IDS/IPS) that runs on Raspberry Pi and edge devices. It combines eBPF/XDP kernel-level packet filtering with machine learning threat classification to deliver autonomous network security with zero cloud dependency.

The stack includes NAPSE (AI packet inspection), HYDRA (threat intelligence pipeline), SENTINEL (ML classification engine), and AEGIS (autonomous defense orchestrator). In production, a single Raspberry Pi 5 processes 11M+ security events, classifies 177K ML verdicts, and tracks 11,800+ attacker IPs — all autonomously.

Key features:
- 5-minute install on Raspberry Pi 5 or any Linux device
- eBPF/XDP wire-speed packet filtering and DDoS mitigation
- ML-based threat classification (benign/suspicious/malicious
- Real-time QSecBit security posture scoring
- Web dashboard with live threat visualization
- Post-quantum cryptography (Kyber KEM)
- Collective mesh defense across nodes

Features

  • network security
  • home router
  • ad blocker
  • ids
  • ips
  • siem
  • soar
  • soc

Project Activity

See All Activity >

Follow hookprobe

hookprobe Web Site

Other Useful Business Software
Award-Winning Medical Office Software Designed for Your Specialty Icon
Award-Winning Medical Office Software Designed for Your Specialty

Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.

RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
Learn More
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

User Reviews

  • best tool ever for my house and business, gives me visibility and and actions across ads and devices
Read more reviews >

Additional Project Details

Registered

5 days ago