Alternatives and similar repositories for ENViSEC:

Users that are interested in ENViSEC are comparing it to the libraries listed below

• opensci-hub / Awesome-ML-Cybersecurity
  Machine Learning For Cybersecurity.
  ☆66Updated 5 years ago
• ulookme / CyberSecurity-Data-Science
  Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…
  ☆16Updated 4 years ago
• Deepthi10 / Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-dataset
  Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.
  ☆26Updated 5 years ago
• Billy1900 / Awesome-AI-for-cybersecurity
  Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), appli…
  ☆130Updated last year
• PacktPublishing / Hands-On-Artificial-Intelligence-for-Cybersecurity
  Hands-On Artificial Intelligence for Cybersecurity, publised by Packt
  ☆147Updated 2 years ago
• dleyanlin / Machine-Learning-and-Cyber-Security-Resources
  ☆15Updated 8 years ago
• rubiruchi / Insider-Threat-and-Anomaly-Detection-from-User-Activities
  Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
  ☆63Updated 6 years ago
• samarth0174 / Intrusion-Detection-Deep-Learning
  Developed an Anomaly-based intrusion detection system using Multi Level Perceptron
  ☆20Updated 4 years ago
• GrannyProgramming / Intrusion-Detection-using-Deep-Learning-and-Machine-Learning
  Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…
  ☆20Updated 3 years ago
• jackaduma / NLP4CyberSecurity
  NLP model and tech for cyber security tasks
  ☆87Updated 2 years ago
• ait-aecid / kyoushi-environment
  Scripts to deploy virtual testbed for log data analysis and anomaly detection.
  ☆23Updated last year
• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆137Updated 2 years ago
• alik604 / cyber-security
  Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
  ☆204Updated 11 months ago
• dodo47 / cyberML
  Machine learning on knowledge graphs for context-aware security monitoring (data and model)
  ☆17Updated 3 years ago
• c2dc / AB-TRAP
  This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model real…
  ☆51Updated 3 years ago
• cslfiu / IoTCryptojacking
  Source codes used on the academic paper, "A Lightweight IoT Cryptojacking Detection Mechanism in Heterogeneous Smart Home Networks".
  ☆10Updated 2 years ago
• fisher85 / ml-cybersecurity
  Machine Learning in Cybersecurity
  ☆80Updated 6 months ago
• Shauqi / Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
  Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …
  ☆49Updated 5 years ago
• yliang725 / Anomaly-Detection-IoT23
  A research project of anomaly detection on dataset IoT-23
  ☆98Updated 6 months ago
• ruchikagargdiwakar / ml_cyber_security_usecases
  This project contains files for cyber security
  ☆34Updated 6 years ago
• kaiyoo / ML-Anomaly-Detection
  Detection of network traffic anomalies using unsupervised machine learning
  ☆25Updated 3 years ago
• officialarijit / DW-FedAvg
  A Federated Learning based Android Malware Classification System
  ☆26Updated last year
• Iretha / IoT23-network-traffic-anomalies-classification
  AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
  ☆69Updated 3 years ago
• imfaisalmalik / CTU13-CSV-Dataset
  CTU13 CSV Dataset contains Botnet, Normal and Background traffic
  ☆16Updated 2 years ago
• robsss / Iot-Cyber-Security-with-Machine-Learning
  IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…
  ☆25Updated 2 years ago
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆73Updated last year
• basel-a / SMET
  SMET : Semantic Mapping of CVE to ATT&CK and its Application to Cybersecurity
  ☆45Updated 6 months ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• Yasir-ali-farrukh / Payload-Byte
  Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.
  ☆35Updated 8 months ago