Netspot: a simple Intrusion Detection System with statistical learning
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
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
Use-After-Free is a well-known class of vulnerabilities that is commonly used by modern exploits. In the research project […]