Detect Unauthorized Access via Anomaly Detection -- 2

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My project is focused on identifying anomalies in network traffic that may signify unauthorized access attempts, using advanced machine learning and deep learning techniques. Key Tasks: - Analyzing network traffic data to spot abnormal patterns. - Implementing models like Isolation Forest and Autoencoders for efficient anomaly detection. - Enhancing our cybersecurity systems' ability to identify and respond to threats in real-time. Preferred Skills and Experience: - Proficient in using PyTorch for machine learning. - Experienced in network traffic analysis. - Familiar with cyber security principles and practices. Please note, the specific type of network traffic data we will be working with has not yet been determined. Therefore, flexibility and adaptability will be key to success...

Keyword: Machine Learning

Delivery Time: 3 days left days

Price: $166.0

Algorithm Computer Security Internet Security Machine Learning (ML) Network Administration