tabzraz / InsiderThreatDetection
☆20Updated 8 years ago
Alternatives and similar repositories for InsiderThreatDetection:
Users that are interested in InsiderThreatDetection are comparing it to the libraries listed below
- Prototype development for Insider Threat Detection and Assessment tools☆8Updated 9 years ago
- Insider threat detection with heterogeneous graph in CERT dataset.☆18Updated 3 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆62Updated 5 years ago
- Insider Threat Detection using Isolation Forest☆16Updated 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
- 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 via bert☆18Updated 3 years ago
- Feature extraction for CERT insider threat test dataset☆86Updated 4 months ago
- ☆141Updated 4 years ago
- Detecting malicious URLs using an autoencoder neural network☆41Updated 2 years ago
- The project “Behavioral Based Insider Threat Detection” leverages Deep learning to identify insider threats through user behavior and acc…☆11Updated last year
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆104Updated 4 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆75Updated 6 months 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☆20Updated 2 years ago
- Extracting Attack Behavior from Threat Reports☆76Updated last year
- User anomaly detector based on logs generated by Osquery framework and machine learning to process those logs.☆33Updated 7 years ago
- Detection of malicious domains via character co-occurrence analysis in URL's.☆9Updated 8 years ago
- User and Entity Behavior Analytics by deep learning☆106Updated 3 years ago
- Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated…☆21Updated 4 years ago
- Machine-learning-based intrusion detection☆35Updated 6 years ago
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆236Updated 10 months ago
- A method for grouping, clustering, and merging semi-structured alerts☆22Updated 3 months ago
- Labeled DNS exfiltration datasets and algorithms of DNS tunneling detection☆28Updated 2 years ago
- A Zeek script to generate features based on timing, volume and metadata for traffic classification.☆54Updated 4 years ago
- ☆100Updated 4 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆154Updated last year
- ICS Cybersecurity PCAP respository☆51Updated 6 years ago
- ☆10Updated 6 years ago
- ☆12Updated 3 years ago