nansunsun / Cybersecurity-incident-prediction-and-discovery-data
☆15Updated 6 years ago
Alternatives and similar repositories for Cybersecurity-incident-prediction-and-discovery-data:
Users that are interested in Cybersecurity-incident-prediction-and-discovery-data are comparing it to the libraries listed below
- A framework for the Analysis of Intrusion Detection Alerts☆17Updated 3 years ago
- [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854☆32Updated 7 months ago
- Machine learning on knowledge graphs for context-aware security monitoring (data and model)☆17Updated 2 years ago
- This is a paper list about Machine Learning for IDSes☆88Updated 5 months ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆91Updated last year
- Replication files for arXiv:1805.03735 Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic☆11Updated 6 years ago
- This repository holds the dataset used to conduct experiments for the "Cyberthreat Detection from Twitter using Deep Neural Networks" acc…☆31Updated 4 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆100Updated 5 years ago
- This repository holds the data, source code and resulting model weights for the paper "Towards end-to-end Cyberthreat Detection from Twit…☆17Updated 3 years ago
- ☆20Updated 3 years ago
- Datasets used in the StreamSpot experiments☆55Updated 8 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆63Updated last year
- ☆22Updated 4 years ago
- dataset of encrypted network traffic☆10Updated 6 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆61Updated 5 years ago
- TTPDrill focuses on developing automated and context-aware analytics of cyber threat intelligence to accurately learn attack patterns (TT…☆26Updated 4 years ago
- ☆74Updated last year
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆38Updated 6 years ago
- Insider threat detection via bert☆18Updated 3 years ago
- Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"☆18Updated 6 years ago
- Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise☆25Updated 3 years ago
- A method for grouping, clustering, and merging semi-structured alerts☆22Updated 2 months ago
- A naive implementation of HERCULE, an attack story reconstruction system using community discovery on correlated log graph☆15Updated 7 years ago
- Core streaming heterogeneous graph clustering and anomaly detection code (KDD 2016)☆39Updated 4 years ago
- provides a new dataset for NER missions in cyber threat intelligence (CTI) field.☆36Updated 2 years ago
- FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation…☆29Updated 6 years ago
- User and Entity Behavior Analytics by deep learning☆105Updated 3 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆31Updated 6 months ago
- Extracting Attack Behavior from Threat Reports☆76Updated last year
- Implementation of 《DeepDGA: Adversarially-Tuned Domain Generation and Detection》 arXiv:1610.01969☆25Updated 5 years ago