TanusreeSharma / phishingdata-AnalysisLinks
Experimentation with Sentiment Analysis on Phishing Email Datasets. Machine-learning techniques to help classify the overall emotional content of the data as well as the difference among different phishing data
☆16Updated 4 years ago
Alternatives and similar repositories for phishingdata-Analysis
Users that are interested in phishingdata-Analysis are comparing it to the libraries listed below
Sorting:
- Final year project☆10Updated 5 years ago
- This project will determine which of the five supervised classification machine learning algorithms performs best in detecting phishy ema…☆45Updated last year
- Hands-On Artificial Intelligence for Cybersecurity, publised by Packt☆155Updated 2 years ago
- Machine Learning For Cybersecurity.☆66Updated 5 years ago
- NLP model and tech for cyber security tasks☆87Updated 2 years ago
- Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing…☆65Updated 2 years ago
- Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), appli…☆151Updated last year
- AI-enabled Cybersecurity for Future Smart Environments☆24Updated 10 months ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆104Updated 5 years ago
- In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms☆20Updated 4 years ago
- Midterm Project for the AI & Cybersecurity Course - University of New Haven☆15Updated 5 years ago
- Identifying Malicious Phishing URLs through Machine Learning☆49Updated last year
- Detection of malicious data exfiltration over DNS using Machine Learning techniques☆12Updated 4 years ago
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆181Updated 2 years ago
- Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…☆16Updated 4 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Updated 4 years ago
- A proof-of-concept for an Anomaly-based Intrusion Detection System based on a neural network.☆18Updated 4 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
- Files used in the development of an email phishing protection application in Microsoft's Office Outlook add-in environmnet☆15Updated 2 years ago
- ☆55Updated 6 years ago
- Threat hunting in social media☆12Updated 6 years ago
- Machine Learning Models to Detect and Classify Malicious URLs☆52Updated 2 years ago
- Cyber Security concepts extracted from unstructured threat intelligence reports using Named Entity Recognition☆106Updated 2 years ago
- Experiments to detect phishing websites using neural networks☆21Updated 5 years ago
- CTU13 CSV Dataset contains Botnet, Normal and Background traffic☆17Updated 2 years ago
- A machine learning based Intrusion Detection System☆137Updated 5 years ago
- Extracting Attack Behavior from Threat Reports☆77Updated 2 years ago
- Suricata rules that can detect a wide range of threats, including malware, exploits, and other malicious activity especially web applicat…☆46Updated last year
- Anomaly based Malware Detection using Machine Learning (PE and URL)☆150Updated 4 months ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆68Updated 6 years ago