26 citations · 34 across the 6 of their papers we have counts for
6 papers
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic
Clinton Cao, Annibale Panichella, Sicco Verwer
The rising popularity of the microservice architectural style has led to a growing demand for automated testing approaches tailored to these systems. EvoMaster is a state-of-the-ar…
State Frequency Estimation for Anomaly Detection
Clinton Cao, Agathe Blaise, Annibale Panichella +1
Many works have studied the efficacy of state machines for detecting anomalies within NetFlows. These works typically learn a model from unlabeled data and compute anomaly scores f…
CATMA: Conformance Analysis Tool For Microservice Applications
Clinton Cao, Simon Schneider, Nicolás E. Díaz Ferreyra +3
The microservice architecture allows developers to divide the core functionality of their software system into multiple smaller services. However, this architectural style also mak…
SoK: Explainable Machine Learning for Computer Security Applications
Azqa Nadeem, Daniël Vos, Clinton Cao +4
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine learning (ML) pipelines. We systematize the increasingly growing (but fragmented) microcosm of…
ENCODE: Encoding NetFlows for Network Anomaly Detection
Clinton Cao, Annibale Panichella, Sicco Verwer +2
NetFlow data is a popular network log format used by many network analysts and researchers. The advantages of using NetFlow over deep packet inspection are that it is easier to col…
Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster
Clinton Cao, Agathe Blaise, Sicco Verwer +1
These days more companies are shifting towards using cloud environments to provide their services to their client. While it is easy to set up a cloud environment, it is equally imp…