GregaVrbancic / Phishing-Dataset
Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/
☆62Updated 2 years ago
Alternatives and similar repositories for Phishing-Dataset:
Users that are interested in Phishing-Dataset are comparing it to the libraries listed below
- Experiments to detect phishing websites using neural networks☆21Updated 5 years ago
- Machine Learning Models to Detect and Classify Malicious URLs☆50Updated 2 years ago
- ☆55Updated 6 years ago
- NLP model and tech for cyber security tasks☆87Updated 2 years ago
- Chrome extension for detecting phishing web sites☆246Updated 4 years ago
- Multi-class malware classification using Deep Learning☆78Updated 4 years ago
- Extracting features from URLs to build a data set for machine learning. The purpose is to find a machine learning model to predict phishi…☆60Updated 3 years ago
- Machine Learning for Phishing Website Detection☆55Updated 5 years ago
- Identifying Malicious Phishing URLs through Machine Learning☆49Updated last year
- Cyber Attack Detection thanks to Machine Learning Algorithms☆104Updated 5 years ago
- Malicious URL detector using keras recurrent networks and scikit-learn classifiers☆34Updated 7 years ago
- Malicious Web Sites Detection using Suspicious URL☆73Updated 4 years ago
- ☆302Updated 3 years ago
- A multi-layered and multi-tiered Machine Learning security solution, it supports always on detection system, Django REST framework used, …☆49Updated 2 years ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆73Updated 2 years ago
- Experimentation with Sentiment Analysis on Phishing Email Datasets. Machine-learning techniques to help classify the overall emotional co…☆16Updated 4 years ago
- ☆59Updated 2 years ago
- AI: Deep Learning for Phishing URL Detection☆52Updated 2 years ago
- PyTorch/HuggingFace Implementation of URLTran: Improving Phishing URL Detection Using Transformers☆34Updated 2 years ago
- Machine Learning For Cybersecurity.☆65Updated 5 years ago
- Detecting malicious URLs using an autoencoder neural network☆41Updated 2 years ago
- This project will determine which of the five supervised classification machine learning algorithms performs best in detecting phishy ema…☆45Updated last year
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆98Updated 2 years ago
- ☆70Updated 2 years ago
- Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection☆162Updated 4 years ago
- In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms☆20Updated 4 years ago
- Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This proj…☆40Updated 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…☆162Updated 9 months ago
- A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3…☆16Updated 5 years ago
- ☆29Updated 4 years ago