pnnl / safekitView external linksLinks
☆147Nov 17, 2020Updated 5 years ago
Alternatives and similar repositories for safekit
Users that are interested in safekit are comparing it to the libraries listed below
Sorting:
- Insider Threat Detection using Isolation Forest☆17Jun 1, 2018Updated 7 years ago
- Feature extraction for CERT insider threat test dataset☆106Oct 1, 2024Updated last year
- This use case aims to leverage stream reasoning techniques and the concept of semantic importance to detect one attacking type of the ins…☆23Jan 9, 2017Updated 9 years ago
- ☆21May 19, 2016Updated 9 years ago
- Insider threat detection via bert☆23Jan 13, 2022Updated 4 years ago
- Replication files for arXiv:1805.03735 Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic☆11Jan 6, 2019Updated 7 years ago
- ☆16Apr 3, 2020Updated 5 years ago
- The repository implement the LMTracker model based on paper: LMTracker: Lateral movement path detection based on heterogeneous graph embe…☆17Jul 12, 2023Updated 2 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆73Mar 22, 2019Updated 6 years ago
- LogCluster☆33Dec 4, 2022Updated 3 years ago
- Experimental ONLY: This consolidated data of scenario-2 of the US-CERT dataset for insider threats to be used with TF 2.0 and Keras☆20Apr 28, 2022Updated 3 years ago
- A statistical framework for graph anomaly detection.☆17Sep 23, 2018Updated 7 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆176Sep 3, 2022Updated 3 years ago
- ☆102Nov 26, 2020Updated 5 years ago
- Simple implementation of scientific paper 'GAC: Graph-Based Alert Correlation for the Detection of Distributed Multi-Step Attacks'☆19May 12, 2019Updated 6 years ago
- List of tools & datasets for anomaly detection on time-series data.☆3,163Oct 21, 2024Updated last year
- Extracting Attack Behavior from Threat Reports☆81Apr 28, 2023Updated 2 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆36May 25, 2017Updated 8 years ago
- Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".☆597May 25, 2022Updated 3 years ago
- Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison☆23Mar 4, 2023Updated 2 years ago
- SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records, Oakland'22☆83Jun 6, 2023Updated 2 years ago
- A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discov…☆873May 22, 2024Updated last year
- Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection☆12Jan 9, 2020Updated 6 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆98Aug 1, 2023Updated 2 years ago
- ☆24Nov 9, 2020Updated 5 years ago
- Analysis of HTTP traffic and detection of anomalous user behavior in allowed actions. UEBA system.☆25Feb 15, 2023Updated 3 years ago
- Archive of publicly available threat INTel reports (mostly APT Reports but not limited to).☆11Sep 30, 2018Updated 7 years ago
- Analyzing different stocks listed on the NASDAQ stock market☆13Dec 5, 2020Updated 5 years ago
- A combination of Autoencoder and Robust PCA☆188Jun 28, 2024Updated last year
- Insider threat detection with heterogeneous graph in CERT dataset.☆27Dec 21, 2021Updated 4 years ago
- Density Order Embeddings☆33May 15, 2019Updated 6 years ago
- A recommender system for GitHub repositories☆14Jun 21, 2014Updated 11 years ago
- Forest of random partitioning trees for point-wise and collective anomaly detection☆12Nov 1, 2024Updated last year
- A Zeek package that detects Zoom logins and meeting joins☆12Apr 15, 2020Updated 5 years ago
- User and Entity Behavior Analytics by deep learning☆120Feb 26, 2021Updated 4 years ago
- SOTA TAG Parser☆15Jan 19, 2019Updated 7 years ago
- ULMFiT Method for German Language☆15May 10, 2019Updated 6 years ago
- Adversarial machine learning and explainable machine learning for cyber security☆13Jun 21, 2022Updated 3 years ago
- A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from t…☆1,144Jan 17, 2025Updated last year