bibs2091/Anomaly-detection-system
Machine learning based Intrusion detection system (IDS)
This system helps network administrators and security analysts identify and classify cyber-attacks on their network. It takes live network traffic data, analyzes its characteristics, and then tells you if an anomaly (a potential attack) is present and what type of attack it might be, such as a DoS or brute-force attempt.
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Use this if you need an automated way to detect unusual network activity and pinpoint common cyber-attack types to protect your network infrastructure.
Not ideal if you need to analyze historical network data offline or require a solution that integrates with existing large-scale security information and event management (SIEM) systems.
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Language
Java
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Last pushed
Jan 04, 2022
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