Ramub226 / Behavioar-Based-Insider-Threat-Detection-Using-Deep-Learning
Cyber security issues are around the globe where data security is the major concern, one or the another company vulnerable to data leakage issues by the insiders , So to overcome this insider threats issues we developed a model which detects the insider attack prior. In this we have used LSTM-CNN and BI-LSTM-CNN to deploy a model.
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Behavioar-Based-Insider-Threat-Detection-Using-Deep-Learning
- Insider threat detection with heterogeneous graph in CERT dataset.☆18Updated 2 years ago
- Insider threat detection via bert☆18Updated 2 years ago
- The project “Behavioral Based Insider Threat Detection” leverages Deep learning to identify insider threats through user behavior and acc…☆10Updated last year
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆58Updated 5 years ago
- ☆20Updated 8 years ago
- Feature extraction for CERT insider threat test dataset☆77Updated last month
- Prototype development for Insider Threat Detection and Assessment tools☆8Updated 9 years ago
- Machine learning on knowledge graphs for context-aware security monitoring (data and model)☆16Updated 2 years ago
- Insider Threat Detection using Isolation Forest☆16Updated 6 years ago
- Using machine learning to detect malware in encrypted TLS traffic metadata☆17Updated 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☆20Updated 2 years ago
- A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports☆19Updated last year
- Cyber Attack Detection thanks to Machine Learning Algorithms☆97Updated 4 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆74Updated 3 months ago
- Extracting Attack Behavior from Threat Reports☆75Updated last year
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆158Updated last year
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆137Updated last year
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆35Updated 8 months ago
- A method for grouping, clustering, and merging semi-structured alerts☆19Updated last week
- Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is norma…☆50Updated last year
- This is the Network Flow Generator for ICSSIM☆13Updated 3 weeks ago
- Replication package for the paper "Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study" published at the I…☆38Updated 2 years ago
- ICS Cybersecurity PCAP respository☆49Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- ☆65Updated 11 months ago
- A framework for synthesizing lateral movement login data.☆20Updated 3 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆27Updated 4 months ago
- ☆96Updated 4 years ago
- Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated…☆20Updated 4 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆194Updated 2 years ago