AI-Driven Malware Detection and Analysis System
By Zafri
Categories: Cybersecurity
About Course
- Tech Stack: Python (Keras, TensorFlow), Splunk, Snort, OpenAI GPT, GCP (AI Hub, Cloud Functions)
- Objective: Build an AI-driven system for malware detection and behavioral analysis. Train deep learning models to identify malware patterns in network traffic and endpoint data. Use Snort for network intrusion detection and OpenAI GPT for behavioral analysis.
- Skills Needed: Malware analysis, deep learning (TensorFlow), network intrusion detection (Snort), real-time monitoring (Splunk), cloud deployment (GCP AI Hub).
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