activity
20222025
most citedLearning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster

26 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

SBOMproof: Beyond Alleged SBOM Compliance for Supply Chain Security of Container Images

Jacopo Bufalino, Mario Di Francesco, Agathe Blaise +1

Supply chain security is extremely important for modern applications running at scale in the cloud. In fact, they involve a large number of heterogeneous microservices that also in…

cs.SE2025

ORCA: Unveiling Obscure Containers In The Wild

Jacopo Bufalino, Agathe Blaise, Stefano Secci

Modern software development increasingly depends on open-source libraries and third-party components, which are often encapsulated into containerized environments. While improving…

cs.LG2024

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…

cs.LG2022★ 1 cited

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…

cs.DC2022★ 26 cited

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…