
zeek
Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.

Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.

Open-source network IDS/IPS/NSM engine for real-time traffic inspection, intrusion detection and prevention, protocol analysis, and rule-based threat…

ESPectre - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.

DNS Proxy that is simple and fast with not so simple features. Focused on routed DNS forwarding, filtering and parental control.

Programmable guardrails for LLM chat apps: enforce input/output rails, block jailbreaks and prompt injections, detect hallucination, and mask…

Zero-Trust Cellular Defense Sub-Service for Android (IMSI-Catcher, 2G SMS Blaster, and 4G aLTEr Detection & Safe Routing)

All-in-one IoT Platform - Device management, data collection, processing and visualization.


PowerShell script that monitors Windows DNS traffic via pktmon to detect poisoning, spoofing, rogue resolver responses, and gateway MAC changes,…

Daemon to randomize tcp_challenge_ack_limit to prevent side channel attacks CVE-2016-5696

This repository includes the source code used in the "Characterization and Detection of Cross-Router Covert Channels" paper.

Benchmark suite and code for detecting AI alignment failures, with 44 benchmarks across ten failure types and a zero-shot RLCD detector evaluated on…

Blazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jev.

Open source entropy based invalid traffic detection and pre-bid filtering.

Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques

With Wireshark or TCPdump, you can determine whether there is harmful activity on your network traffic that you have recorded on the network you…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.

Detects unknown jailbreak attacks in large vision-language models using hidden state analysis and autoencoders, with training and evaluation…