CollinsChepkwony / BEHAVIORAL-BASED-INSIDER-THREAT-DETECTION-USING-DEEP-LEARNING
The project “Behavioral Based Insider Threat Detection” leverages Deep learning to identify insider threats through user behavior and access analysis, achieving 100% accuracy with CMU CERT r5.2 data. Key terms: Insider threat, Deep Learning, User behavior and Information security.
☆10Updated last year
Alternatives and similar repositories for BEHAVIORAL-BASED-INSIDER-THREAT-DETECTION-USING-DEEP-LEARNING:
Users that are interested in BEHAVIORAL-BASED-INSIDER-THREAT-DETECTION-USING-DEEP-LEARNING are comparing it to the libraries listed below
- Cyber security issues are around the globe where data security is the major concern, one or the another company vulnerable to data leakag…☆9Updated 2 years ago
- Insider threat detection with heterogeneous graph in CERT dataset.☆18Updated 3 years ago
- Insider threat detection via bert☆18Updated 3 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆60Updated 5 years ago
- Extracting Attack Behavior from Threat Reports☆76Updated last year
- Public Arena dataset☆12Updated 2 years ago
- SecureBERT is a domain-specific language model to represent cybersecurity textual data.☆78Updated 6 months ago
- A method for grouping, clustering, and merging semi-structured alerts☆22Updated 2 months ago
- Feature extraction for CERT insider threat test dataset☆83Updated 3 months ago
- Prototype development for Insider Threat Detection and Assessment tools☆8Updated 9 years ago
- ☆20Updated 8 years ago
- KRYSTAL: Knowledge Graph-based Framework for Tactical Attack Discovery in Audit Data☆31Updated 8 months ago
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆145Updated last year
- Machine learning on knowledge graphs for context-aware security monitoring (data and model)☆17Updated 2 years ago
- ☆12Updated 3 years ago
- APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning☆61Updated 2 years ago
- ☆14Updated 4 years ago
- ☆20Updated 3 years ago
- ☆20Updated 3 years ago
- ☆27Updated last year
- ☆97Updated 4 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆63Updated last year
- ☆54Updated 8 months ago
- Adversarial machine learning and explainable machine learning for cyber security☆11Updated 2 years ago
- ☆74Updated last year
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆67Updated last year
- Scripts to generate and analyze the AIT alert data set (AIT-ADS)☆19Updated 3 months ago
- A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports☆24Updated last year
- The repository implement the LMTracker model based on paper: LMTracker: Lateral movement path detection based on heterogeneous graph embe…☆15Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago