whyisyoung/CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
This project helps security analysts and network defenders identify and understand newly emerging threats in their systems, such as previously unseen malware families or novel network intrusion patterns. It takes in security data, like malware features or network traffic logs, and flags samples that represent these new threats, while also providing explanations for why they are considered novel. This allows security professionals to react quickly to evolving cyber threats.
143 stars. No commits in the last 6 months.
Use this if you need to detect and understand new, previously unknown threats in your security data that your existing systems might miss.
Not ideal if you are looking for a general-purpose anomaly detection tool for non-security applications or if you require commercial licensing for your project.
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143
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Language
Python
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Last pushed
Mar 25, 2023
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