hanhanwu / Hanhan_CyberSecurity_DataScience
Applied data science in cyber security
☆21Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Hanhan_CyberSecurity_DataScience
- Machine Learning For Cybersecurity.☆63Updated 5 years ago
- Hands-On Machine Learning for Cybersecurity, published by Packt☆188Updated last year
- Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…☆15Updated 4 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆154Updated last year
- ☆15Updated 7 years ago
- This is a paper list about Machine Learning for IDSes☆86Updated 2 months ago
- Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …☆45Updated 5 years ago
- Collection of cyber security and "AI" relevant topics☆75Updated 6 years ago
- ☆62Updated 6 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆58Updated 5 years ago
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Updated 3 years ago
- ☆59Updated 2 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆62Updated 3 years ago
- Identify malicious behavior and attacks using Machine Learning with Python☆43Updated 7 years ago
- Hands-On Artificial Intelligence for Cybersecurity, publised by Packt☆140Updated last year
- ☆36Updated 8 years ago
- ☆67Updated last year
- This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-at…☆36Updated 4 years ago
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆104Updated 4 years ago
- An anomaly-based intrusion detection system.☆80Updated last year
- AI-enabled Cybersecurity for Future Smart Environments☆19Updated 3 months ago
- This use case aims to leverage stream reasoning techniques and the concept of semantic importance to detect one attacking type of the ins…☆22Updated 7 years ago
- Using Unsupervised methods to identify anomalies in user behaviour through IP Profiling☆23Updated 5 years ago
- Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…☆66Updated 4 years ago
- Free Malware Training Datasets for Machine Learning☆225Updated 3 years ago
- Machine Learning applied to Cyber Security Course☆40Updated 5 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆81Updated 4 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆134Updated 5 years ago
- SSH traffic analysis☆23Updated 5 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆74Updated 3 months ago