Alternatives and similar repositories for seq2seq-web-attack-detection:

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

• grananqvist / Machine-Learning-Web-Application-Firewall-and-Dataset
  ☆74Updated 7 years ago
• BBVA / waf-brain
  Machine Learning WAF Based
  ☆93Updated 4 years ago
• Morzeux / HttpParamsDataset
  Dataset contains several benign and attacks samples which can be used as values in HTTP protocol.
  ☆46Updated 4 years ago
• akafengfeng / AI-Security
  This is a paper list about Machine Learning for IDSes
  ☆88Updated 7 months ago
• mannirulz / BotDAD
  Anomaly detection based on DNS traffic analysis
  ☆51Updated 4 years ago
• BoneLee / dns_tunnel_dectect_with_CNN
  dns tunnel dectect with CNN
  ☆62Updated 5 years ago
• netrack / learn
  Labeled DNS exfiltration datasets and algorithms of DNS tunneling detection
  ☆28Updated 2 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 4 years ago
• viral98 / seq2seq-anomaly-detection
  A Natural Language Processing based approach to detect malicious HTTP requests.
  ☆11Updated 4 years ago
• adamkusey / securitai-lstm-model
  ☆62Updated 7 years ago
• cwellszhang / DetectMaliciousURL
  Applying text model to Detection Task
  ☆73Updated 7 years ago
• savan77 / Malicious-URL-Detection-using-Machine-Learning
  A Dataset for the task of Malicious URL Detection
  ☆21Updated 7 years ago
• slrbl / Intrusion-and-anomaly-detection-with-machine-learning
  Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
  ☆155Updated last year
• Belval / ML-IDS
  An IDS implementation using machine learning
  ☆36Updated 7 years ago
• surajr / URL-Classification
  Machine learning to classify Malicious (Spam)/Benign URL's
  ☆127Updated 3 years ago
• lminy / BotnetDetectionThesis
  Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"
  ☆18Updated 6 years ago
• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆236Updated last year
• alexfrancow / A-Detector
  An anomaly-based intrusion detection system.
  ☆82Updated 2 years ago
• hmaccelerate / DGA_Detection
  DGA Detection with ML and DL
  ☆47Updated 5 years ago
• lucadivit / Pcap_Features_Extraction
  This program allow you to extract some features from pcap files.
  ☆38Updated last year
• WalterDiong / TLS-Malware-Detection-with-Machine-Learning
  Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption
  ☆39Updated 4 years ago
• markusring / CIDDS
  Coburg Intrusion Detection Data Sets
  ☆50Updated 7 years ago
• shyoshyo / DataCon-9102-DNS
  DataCon 9102: DNS Analysis, THU Team 1
  ☆42Updated 5 years ago
• mylamour / machine-learning-for-security
  machine learning for security
  ☆77Updated 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 6 years ago
• cyberdefendersprogram / MachineLearning
  ☆52Updated 6 years ago
• variationalkk / User-and-Entity-Behavior-Analytics-UEBA
  User and Entity Behavior Analytics by deep learning
  ☆108Updated 4 years ago
• faizann24 / Using-machine-learning-to-detect-malicious-URLs
  Machine Learning and Security | Using machine learning to detect malicious URLs
  ☆269Updated 2 years ago
• AI-IDS / kdd99_feature_extractor
  Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file
  ☆120Updated 5 years ago
• Antimalweb / URLNet
  Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection
  ☆160Updated 4 years ago