hanhanwu / Hanhan_CyberSecurity_DataScience
Applied data science in cyber security
☆22Updated 3 years ago
Alternatives and similar repositories for Hanhan_CyberSecurity_DataScience:
Users that are interested in Hanhan_CyberSecurity_DataScience are comparing it to the libraries listed below
- Machine Learning For Cybersecurity.☆65Updated 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 4 years ago
- Machine Learning applied to Cyber Security Course☆43Updated 5 years ago
- Hands-On Artificial Intelligence for Cybersecurity, publised by Packt☆147Updated 2 years ago
- ☆15Updated 8 years ago
- ☆62Updated 6 years ago
- ☆47Updated 8 years ago
- Hands-On Machine Learning for Cybersecurity, published by Packt☆192Updated 2 years ago
- ☆70Updated 2 years ago
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆105Updated 4 years ago
- Identify malicious behavior and attacks using Machine Learning with Python☆48Updated 8 years ago
- Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.☆81Updated 4 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆76Updated 7 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 …☆49Updated 5 years ago
- A collection of resources for security data☆41Updated 7 years ago
- Machine-learning-based intrusion detection☆36Updated 6 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆155Updated last year
- AI-enabled Cybersecurity for Future Smart Environments☆24Updated 7 months ago
- This program allow you to extract some features from pcap files.☆38Updated last year
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆63Updated 6 years 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 8 years ago
- Machine Learning Models to Detect and Classify Malicious URLs☆49Updated 2 years ago
- Coburg Intrusion Detection Data Sets☆50Updated 7 years ago
- This is a paper list about Machine Learning for IDSes☆88Updated 7 months ago
- A list of cybersecurity projects that use machine learning techniques☆61Updated 8 years ago
- DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.☆64Updated last year
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆67Updated 3 years ago
- This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-at…☆37Updated 4 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆102Updated 5 years ago
- NSL-KDD Dataset☆183Updated 9 years ago