roreagan / DeepDGA
Implementation of 《DeepDGA: Adversarially-Tuned Domain Generation and Detection》 arXiv:1610.01969
☆25Updated 5 years ago
Alternatives and similar repositories for DeepDGA:
Users that are interested in DeepDGA are comparing it to the libraries listed below
- 使用LSTM模型检测DGA域名☆42Updated 5 years ago
- Code to go with the paper "Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning"☆18Updated 4 years ago
- 基于深度学习对dga恶意域名检测研究☆53Updated 2 years ago
- Anomaly detection based on DNS traffic analysis☆51Updated 4 years ago
- ☆11Updated 7 years ago
- FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation…☆29Updated 6 years ago
- 基于LSTM的恶意域名检测实例☆18Updated 4 years ago
- ☆12Updated 5 years ago
- The project is to detect malware traffic in TLS flows using ML☆35Updated 4 years ago
- Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption☆39Updated 4 years ago
- DataCon 9102: DNS Analysis, THU Team 1☆42Updated 5 years ago
- 本笔记是对课程CS 259D中涉及的论文和讲义的扩展,建议阅读原始论文和讲义。☆71Updated 6 years ago
- A dataset containing APT group related articles and MITRE ATT&CK technique descriptions☆18Updated 5 years ago
- The report of a supervised classifier to detect malware in TLS traffic☆19Updated 5 years ago
- A LSTM based framework for handling multiclass imbalance in DGA botnet detection☆21Updated 4 years ago
- Extracting Attack Behavior from Threat Reports☆76Updated last year
- Sample DGA classifier☆124Updated 9 years ago
- Code for "Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media".☆25Updated 5 years ago
- 阿里云安全恶意程序检测比赛☆113Updated 4 years ago
- DGA Detection with ML and DL☆46Updated 5 years ago
- 恶意代码家族聚类。DataCon☆11Updated 5 years ago
- ☆172Updated 6 years ago
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆35Updated 2 years ago
- dns tunnel dectect with CNN☆62Updated 5 years ago
- ☆268Updated 6 years ago
- datacon比赛方向三-攻击源与攻击者分析writeup☆91Updated 5 years ago
- Uses deep learning and machine learning techniques to detect and classify web pages as spam, malware and phishing☆62Updated 4 years ago
- Visualizing malware behavior, and proactive protection using GANs against zero-day attacks.☆41Updated 6 years ago
- ☆22Updated 5 years ago
- ☆15Updated 2 years ago