The code to train and test models.
-
Updated
Feb 21, 2021 - Python
The code to train and test models.
M.T.D. is a project that tackles the growing risks faced by industries worldwide due to cyber threats. Our project employs a comprehensive approach to address various cyber-attacks, focusing on intrusion and malware threats by utilizing Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (A.I.).
SELID: Selective Event Labeling for Intrusion Detection Datasets
Get to know, who access your data.
Intrusion Detection on DARPA by using Multi-layer Perceptron
A security system made using Raspberry Pi and various sensors which include Ultrasonic Sensor, PIR Sensor and LDR Sensor. To raise an alarm, a buzzer is integrated along with a LED.
Intrusion Detection (KDD Cup 1999 Dataset) using Perceptron and Random Forest. UniFi AI final exam.
An animal intrusion detection mechanism for CSD513 course mini project
motion sensor
Parses Apache2 access logs and saves rows in sqlite3 DB for further reporting and processing
Intrusion Detection add-on for Home Assistant
Project for the Intrusion Detection (IF848) course at CIN-UFPE. Basically it's the reimplementation of domains generated by algorithms detection using machine learning.
hobby project. some kind of honeypot idk, open some ports, log and ban ip addresses
Intrusion detection school project for network security subject using scikit-learn LogisticRegression, RandomForestClassifier, MLPClassifier, DecisionTreeClassifier models on KDD Cup 1999 and NSL-KDD dataset.
A python application to protect websites against SQL injections
Arduino project that simulates intrusion detection and system notification
extract payload sequence features from network traffic pcap files
生产场景中异常事件的探测(西奥电梯安全监测系统),浙江省重点科研项目
Meta-heuristic approaches to select important features only for performance enhancement in effective Intrusion Detection System.
Add a description, image, and links to the intrusion-detection topic page so that developers can more easily learn about it.
To associate your repository with the intrusion-detection topic, visit your repo's landing page and select "manage topics."