The code to train and test models.
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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.).
An animal intrusion detection mechanism for CSD513 course mini project
SELID: Selective Event Labeling for Intrusion Detection Datasets
Intrusion Detection on DARPA by using Multi-layer Perceptron
Get to know, who access your data.
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.
motion sensor
Parses Apache2 access logs and saves rows in sqlite3 DB for further reporting and processing
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
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.
This is a sample cloud ids implementation using CloudLens, Snort and ELK. This sample complements the 3 part cloud ids blog series in https://www.ixiacom.com/company/blog/sample-cloud-ids-solution-part-3-series
Intrusion Detection Evaluation - A framework to evalute (Industrial) Intrusion Detection Systems.
Python package for good old fashioned perimeter intrusion detection systems for video protection.
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