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A low-level network analysis and packet inspection framework for security professionals, penetration testers, and researchers. Features SSH cryptographic analysis, DNS threat detection, TCP sequence analysis, and real-time protocol dissection.
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iu-security-club.github.io
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This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.
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