rubiruchi / Insider-Threat-and-Anomaly-Detection-from-User-ActivitiesLinks
Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
☆68Updated 6 years ago
Alternatives and similar repositories for Insider-Threat-and-Anomaly-Detection-from-User-Activities
Users that are interested in Insider-Threat-and-Anomaly-Detection-from-User-Activities are comparing it to the libraries listed below
Sorting:
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆207Updated last year
- Cyber Attack Detection thanks to Machine Learning Algorithms☆106Updated 5 years ago
- A machine learning based Intrusion Detection System☆142Updated 5 years ago
- Extracting Attack Behavior from Threat Reports☆77Updated 2 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆156Updated 5 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆280Updated last year
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆88Updated 5 years ago
- Detection of network traffic anomalies using unsupervised machine learning☆26Updated 3 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆92Updated last year
- Feature extraction for CERT insider threat test dataset☆97Updated 9 months ago
- Insider threat detection with heterogeneous graph in CERT dataset.☆25Updated 3 years ago
- Insider threat detection via bert☆20Updated 3 years ago
- A method for grouping, clustering, and merging semi-structured alerts☆23Updated 8 months ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆225Updated 2 years ago
- Machine Learning in Cybersecurity☆84Updated last month
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆67Updated last month
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆152Updated 2 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆134Updated 3 years ago
- NLP model and tech for cyber security tasks☆87Updated 2 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆39Updated last year
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆25Updated 5 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 4 years ago
- ☆25Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆141Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆103Updated 7 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 4 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆85Updated 4 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆156Updated this week
- Flash-IDS is an open-source system developed by the DART Laboratory for advanced intrusion detection using provenance graph representatio…☆71Updated last year