Its a DOS,DDOS detection tool
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Updated
May 21, 2024 - Python
Its a DOS,DDOS detection tool
Implementation of pcStream algorithm in switch dataplane for DDoS detection
DDoS Attack Mitigation project developed in 2018 at IST.
DDoS detector by using machine learning
detection of DDOS attacks using AI and CIC-DDoS2019 dataset
Intrusion Detection System that uses Machine Learning to advanced Dos & DDos Attacks
Ddos attack simulation and detection
Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.
An efficient traffic filtering algorithm for detecting and mitigating TCP SYN flood attacks on fog devices.
This project was developed for the university course Data Analysis for Security. The project aims to extract knowledge from data for the classification of DDos attacks by following the development steps of the KDD process.
A basic DDoS attack classifier
Advanced Layer 7 HTTP(s) DDoS Mitigation module for HAProxy
This project helps in detecting ips which are periodically attacking websites by a botnet to cause Distributed Denial of Service (DDOS)
[IEEE Internet of Things 2022]: This study presents a competent feature selection method extreme gradient boosting (XGBoost) for determining the most relevant data features with a hybrid convolutional neural network and long short-term memory (CNN-LSTM) for DDoS attack classification in software-defined IIoT networks.
Analyzing a dataset for benign and DDoS attacks, involving data exploration, supervised and unsupervised learning, and cluster explainability analysis.
IIT Kanpur in collaboration with HCL organized a Cybersecurity hackathon in which the participants had to create a working solution of cyber security problems.
This repository is a collection of code that I use for the "seminar" course in the Computer Science Department of Gadjah Mada University. The topic of this seminar is "Deep Learning Method for Prediction of DDoS Attacks on Social Media" which is taken from DOI:10.1142/S2424922X19500025
This project utilizes LSTM-based network intrusion detection to improve cybersecurity, achieving high accuracy and low false positive rates.
DDoS Detection system using naive bayes classifier
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