Templates for writing applications using Zeek NSM communication library Broker
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Updated
Oct 21, 2018 - Python
Templates for writing applications using Zeek NSM communication library Broker
This is a small Raspberry-Pi enabled Object detection and alarming system.
Intrusion Detection System using Computer Vision Techniques
An implementation of the approach presented in https://arxiv.org/abs/2201.11628
A powerful tool for detecting abnormal behaviours in network traffic by using unsupervised Isolation Forest algorithm.
Network Intrusion Detection System is a python program that reads captured network packets, assemble the tcp streams and detect attacks based on given signature database. It is developed with keeping memory constrained to 256mb to prevent Denial of Service Attack. It also performs IPv4 and TCP checksum to validate the packet's integrity.
hobby project. some kind of honeypot idk, open some ports, log and ban ip addresses
Real time intrusion detector is an application tracks movement and objects that are visible in a video feed. If these detected items are listed as contraband, it notifies the user through visual outline and sends a message to the user.
Autonomous robot, built on RaspberryPi which detects any human faces intruding on private property using OpenCV
This project lays the groundwork for potentially improving anomaly detection accuracy by exploring the feasibility of embedding a dynamic ensemble selection classifier layer within the neural networks.
An Intrusion Detection System (IDS) implemented in Python, which utilizes machine learning techniques and the KDD Cup 1999 dataset to detect and classify network intrusions in real-time.
On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
Intrusion Detection System that uses Machine Learning to detect Spam for SMTP for example company email server.
Intrusion Detection System that uses Machine Learning to detect Phishing_URL's for example fake link throught an spear-phishing attack to a login page.
Idea: classify traffic on anomaly/normal. If anomlay -> classify further approach: generalization by machine learning
Host-Based Intrusion Detection System
Code for the ML "wallet out" model training
Network intrusion detection system (NIDS) is a tool used to detect and classify the network breaches dynamically in information and communication technologies (ICT) systems in both industries and academia. NIDS is used to detect network born attacks such as Denial of Service (DoS) attacks, malware replication, and intruders that are operating wi…
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