maliksh7 / DeepMADLinks
Malicious Activity Detection System. Final Year Project. Deep Learning-based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Col…
☆12Updated 9 months ago
Alternatives and similar repositories for DeepMAD
Users that are interested in DeepMAD are comparing it to the libraries listed below
Sorting:
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆100Updated 2 years ago
- ☆15Updated 8 years ago
- Intrusion Detection System using Machine Learning and Ensemble Techniques☆16Updated 4 years ago
- A machine learning based Intrusion Detection System☆142Updated 5 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 5 years ago
- ☆50Updated 9 years ago
- This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model real…☆52Updated 3 years ago
- Hands-On Artificial Intelligence for Cybersecurity, publised by Packt☆158Updated 2 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆141Updated 6 years ago
- Hands-On Machine Learning for Cybersecurity, published by Packt☆195Updated 2 years ago
- Machine Learning For Cybersecurity.☆65Updated 5 years ago
- Feature Extraction and Machine Learning from Network Traffic Traces☆69Updated 11 months ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆134Updated 3 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Updated 4 years ago
- ☆70Updated 2 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆207Updated last year
- A proof-of-concept for an Anomaly-based Intrusion Detection System based on a neural network.☆18Updated 5 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆105Updated 5 years ago
- Autoencoder approach to detect attacks/intrusions in a network☆10Updated 2 years ago
- ☆61Updated 6 years ago
- Machine Learning for Cybersecurity Cookbook, published by Packt☆340Updated 2 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆156Updated 5 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆82Updated 11 months ago
- Public datasets to help you address various cyber security problems.☆436Updated 3 years ago
- Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.☆83Updated 5 years ago
- Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors i…☆812Updated this week
- Identify malicious behavior and attacks using Machine Learning with Python☆48Updated 8 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆280Updated last year
- DDoS attack analysis using Machine Learning☆44Updated 4 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆46Updated 3 years ago