Netspot: a simple Intrusion Detection System with statistical learning
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Persistent Threats (APT) since only pre-registered and well-characterized attacks can be catched. Some recent systems use unsupervised ML algorithms […]
KDD 2017: Anomaly Detection in Streams with Extreme Value Theory
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Anomaly detection in time series has attracted considerable attention due to its importance in many real-world applications including intrusion detection, energy management and finance […]
An introduction of Use-After-Free detection in binary code by static analysis
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Use-After-Free is a well-known class of vulnerabilities that is commonly used by modern exploits. In the research project […]