saptajitbanerjee / SQL-Injection-Detection
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.
☆16Updated 10 months ago
Alternatives and similar repositories for SQL-Injection-Detection:
Users that are interested in SQL-Injection-Detection are comparing it to the libraries listed below
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Netwo…☆9Updated 10 months ago
- A custom GUI based NIDS (Network Intrusion Detection System) with stream follow capability for HTTP2 and TLS/TCP☆10Updated 4 months ago
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆91Updated 2 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆43Updated 9 months ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web …☆12Updated 8 months ago
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆67Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆41Updated last year
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆41Updated 2 years ago
- Welcome this is a comprehensive repository dedicated to advancing Network Intrusion Detection Systems (NIDS) through the power of Machine…☆16Updated last month
- An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.☆19Updated 4 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆60Updated 5 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆75Updated 4 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆25Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆58Updated 4 years ago
- Web Applicaiton Firewall Implementation using Deep Learning☆12Updated last year
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- Machine Learning in Cybersecurity☆73Updated 3 months ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆122Updated 3 years ago
- A machine learning based Intrusion Detection System☆128Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- CICIDS2017 dataset☆57Updated 3 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆31Updated last year
- An automatic packet crafting tool for evading learning-based NIDS☆77Updated 3 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 5 years ago
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆11Updated 3 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆19Updated 3 years ago
- AI-IDS software for Splunk☆15Updated 4 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆147Updated last year
- Autoencoder approach to detect attacks/intrusions in a network☆9Updated last year