Results 61 to 70 of about 9,400 (149)
ProvNavigator: shadow path guided attack investigation method
After cyber attacks, conducting an investigation to analyze its root cause and impact is crucial. Currently, provenance graph-based techniques have become mainstream methods, but these methods face the challenge of dependency explosion problems.
XI Hao +6 more
doaj
yProv4ML: Effortless provenance tracking for machine learning systems
The rapid growth in interest in deep learning and foundation models (FMs) in particular, has attracted the attention of a diverse range of researchers thanks to their generalization ability.
G. Padovani, V. Anantharaj, S. Fiore
doaj +1 more source
Causality-preserving compression method on provenance graph
Provenance graphs were widely used for detecting and investigating sophisticated network attacks. However, their high storage and analysis overhead made graph compression indispensable.
ZHANG Zilong, DONG Weiyu, WANG Yisen
doaj
Angus: efficient active learning strategies for provenance based intrusion detection
As modern attack methods become more concealed and complex, obtaining many labeled samples in big data streams is difficult. Active learning has long been used to achieve better intrusion detection performance by using only a small number of training ...
Lin Wu +5 more
doaj +1 more source
Semantic Provenance Graph for Reproducibility of Biomedical Research Studies: Generating and Analyzing Graph Structures from Published Literature. [PDF]
Sahoo SS, Valdez J, Rueschman M, Kim M.
europepmc +1 more source
Provenance-Enhanced Statements in Knowledge Graphs
33 ...
Vitali, Fabio, Pasqual, Valentina
openaire +2 more sources
We present QFlowCrate, a QGIS plugin designed to support semi-automatic documentation of geospatial workflows and improve map reproducibility. Addressing the lack of integrated provenance capture in desktop GIS, QFlowCrate retrospectively records data ...
Andreas Rademaker +2 more
doaj +1 more source
Multi-view adversarial attack defending method for host intrusion detection
Host-based intrusion detection (HID) aims to identify attack behaviors through the analysis of host logs. Aiming at the problem that the graph neural network model was vulnerable to adversarial attacks in host intrusion detecti on, a multi-view ...
WANG Fei +4 more
doaj
Unsupervised Workflow Discovery in Provenance Graphs
Data is an ever-expanding part of life in today’s world. Understanding the origin and the history of data - a concept known as data provenance - can thus be extremely important. In this thesis, we first address the need for a data provenance knowledge graph system, then address the need for being able to recover workflows that exist in such provenance ...
openaire +1 more source
Desiderata for a biomedical knowledge network: opportunities, challenges and future directions. [PDF]
Wu C +7 more
europepmc +1 more source

