Alternatives and similar repositories for seq2seq-anomaly-detection

Users that are interested in seq2seq-anomaly-detection are comparing it to the libraries listed below

• mannirulz / BotDAD
  Anomaly detection based on DNS traffic analysis
  ☆54Updated 5 years ago
• PositiveTechnologies / seq2seq-web-attack-detection
  The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The ma…
  ☆156Updated 3 years ago
• beader / tianchi-3rd_security
  第三届阿里云安全算法挑战赛
  ☆37Updated 2 years ago
• s4zong / cybersecurity_threat_severity_analysis
  Code for "Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media".
  ☆25Updated 6 years ago
• surajr / URL-Classification
  Machine learning to classify Malicious (Spam)/Benign URL's
  ☆133Updated 4 years ago
• scusec / Trending-Research-Topics
  Trending Research Topics In Cybersecurity
  ☆20Updated 5 years ago
• BoneLee / dns_tunnel_dectect_with_CNN
  dns tunnel dectect with CNN
  ☆63Updated 5 years ago
• lminy / BotnetDetectionThesis
  Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"
  ☆18Updated 6 years ago
• shyoshyo / DataCon-9102-DNS
  DataCon 9102: DNS Analysis, THU Team 1
  ☆43Updated 6 years ago
• adamkusey / securitai-lstm-model
  ☆62Updated 8 years ago
• enjoysport2022 / Alibaba-3rd-Security-Algorithm-Challenge
  第三届阿里云安全算法挑战赛冠军代码
  ☆113Updated 7 years ago
• benradford / replication_arxiv_1805_03735
  Replication files for arXiv:1805.03735 Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic
  ☆11Updated 6 years ago
• cwellszhang / DetectMaliciousURL
  Applying text model to Detection Task
  ☆74Updated 8 years ago
• NagabhushanS / Machine-Learning-Based-Botnet-Detection
  Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…
  ☆67Updated 5 years ago
• Abonnen / Malicious_TLS_Detection
  The project is to detect malware traffic in TLS flows using ML
  ☆35Updated 5 years ago
• Antimalweb / URLNet
  Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection
  ☆167Updated 4 years ago
• WalterDiong / TLS-Malware-Detection-with-Machine-Learning
  Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption
  ☆39Updated 5 years ago
• LeoTsui / CS259D_Notes_HW_cn
  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。
  ☆72Updated 7 years ago
• csmutz / pdfrate
  ☆13Updated last year
• grananqvist / Machine-Learning-Web-Application-Firewall-and-Dataset
  ☆77Updated 7 years ago
• 404notf0und / AI-for-Security-Testing
  My AI security testing projects
  ☆41Updated 6 years ago
• variationalkk / User-and-Entity-Behavior-Analytics-UEBA
  User and Entity Behavior Analytics by deep learning
  ☆117Updated 4 years ago
• RManLuo / ML_Malware_detect
  阿里云安全恶意程序检测比赛
  ☆115Updated 4 years ago
• EdenShuker / Malware-Detection
  ☆13Updated 7 years ago
• NtMalDetect / NtMalDetect
  Open source malware detection program using machine learning algorithms on system call traces.
  ☆20Updated 7 years ago
• ojroques / tls-malware-detection
  The report of a supervised classifier to detect malware in TLS traffic
  ☆21Updated 5 years ago
• MichaelYin1994 / netman-2018-kpi-anomaly-detection
  2018年国际AIOps挑战赛KPI时序异常检测比赛基于OpenMLDB部署的工程化部署实践方案
  ☆11Updated 3 years ago
• Silent-voice / DGA-Domain-Predict
  使用LSTM模型检测DGA域名
  ☆42Updated 5 years ago
• 0xp0tato / Phishing-Url-Detection-Using-Machine-Learning
  A machine learning approach to detect phishing urls
  ☆28Updated 3 years ago
• vinbhaskara / MalwareGAN
  Visualizing malware behavior, and proactive protection using GANs against zero-day attacks.
  ☆41Updated 7 years ago