https://github.com/filsan95/project-iot_malware_identification

This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.
https://github.com/filsan95/project-iot_malware_identification

apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql

Last synced: over 1 year ago
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This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.

• Host: GitHub
• URL: https://github.com/filsan95/project-iot_malware_identification
• Owner: filsan95
• Created: 2024-08-21T00:04:39.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-11T02:00:04.000Z (almost 2 years ago)
• Last Synced: 2025-01-22T19:11:49.811Z (over 1 year ago)
• Topics: apache-kafka, classification, confluent, databricks, machine-learning-algorithms, scikit-learn, sql
• Homepage:
• Size: 5.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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