saptajitbanerjee / SQL-Injection-DetectionLinks
My team built a Machine Learning model to detect SQL Injections. The dataset was prepared by capturing normal and malicious HTTP requests, extracting essential features for training the model effectively. It enhances web application security by accurately identifying and flagging SQL Injection attacks.
☆23Updated last year
Alternatives and similar repositories for SQL-Injection-Detection
Users that are interested in SQL-Injection-Detection are comparing it to the libraries listed below
Sorting:
- A custom GUI based NIDS (Network Intrusion Detection System) with stream follow capability for HTTP2 and TLS/TCP☆11Updated 11 months ago
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆79Updated 4 years ago
- Web Applicaiton Firewall Implementation using Deep Learning☆15Updated 2 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Netwo…☆18Updated last year
- Welcome this is a comprehensive repository dedicated to advancing Network Intrusion Detection Systems (NIDS) through the power of Machine…☆32Updated 8 months ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web …☆17Updated last year
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆102Updated 2 years ago
- Project for CyberSecurity Bachelor☆16Updated 3 years ago
- Cybersecurity Internship Project☆97Updated 3 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆79Updated last year
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆69Updated 2 months ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆46Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆44Updated 2 years ago
- Anomaly based Malware Detection using Machine Learning (PE and URL)☆160Updated 6 months ago
- Cybersecurity Projects☆18Updated 2 years ago
- Network Intrusion Detection System☆44Updated 2 years ago
- Network Intrusion Detection System Project using Machine Learning with code and Documents☆85Updated 3 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 5 years ago
- Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know…☆187Updated last year
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆226Updated 2 years ago
- This project is created to show how machine learning can be used to detect anomalies in network traffic.☆45Updated 4 years ago
- Machine Learning in Cybersecurity☆86Updated 3 months ago
- Network security related project collection.☆68Updated 5 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆209Updated last year
- Combined datasets of ECML/PKDD 2007 and CSIC 2010☆35Updated last year
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆515Updated 3 weeks ago
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆12Updated 4 years ago
- ☆27Updated 2 years ago
- Public datasets to help you address various cyber security problems.☆447Updated 3 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆138Updated 3 years ago