AI-Based Anomaly Detection for Network Security
About Course
- Tech Stack: Python (Scikit-learn, TensorFlow), Apache Kafka, Spark, AWS (Lambda, S3, Redshift)
- Objective: Build an AI-based anomaly detection system for real-time monitoring of network traffic to detect potential security breaches. The system will analyze large volumes of traffic data using deep learning models and identify unusual patterns that indicate security threats.
- Skills Needed: Anomaly detection (autoencoders, clustering algorithms), real-time data streaming (Kafka, Spark), big data analysis, cloud-based security, and AI integration.
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