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Aggregation by Provenance Types: A Technique for Summarising Provenance Graphs [PDF]

Electronic Proceedings in Theoretical Computer Science, 2015
As users become confronted with a deluge of provenance data, dedicated techniques are required to make sense of this kind of information. We present Aggregation by Provenance Types, a provenance graph analysis that is capable of generating provenance ...
Luc Moreau
doaj   +5 more sources

Provenance Graph Kernel

IEEE Transactions on Knowledge and Data Engineering, 2020
Provenance is a record that describes how entities, activities, and agents have influenced a piece of data; it is commonly represented as graphs with relevant labels on both their nodes and edges. With the growing adoption of provenance in a wide range of application domains, users are increasingly confronted with an abundance of graph data, which may ...
Ayah Helal, David Kohan Marzagão, Luc Moreau   +2 more
exaly   +6 more sources

Sylph: An Unsupervised APT Detection System Based on the Provenance Graph

Information
Traditional detection methods and security defenses are gradually insufficient to cope with evolving attack techniques and strategies, and have coarse detection granularity and high memory overhead.
Kaida Jiang, Zihan Gao, Siyu Zhang, Futai Zou   +3 more
doaj   +3 more sources

SIMPROV: Provenance capturing for simulation studies. [PDF]

PLoS ONE
Improving interpretability and reusability has become paramount for modeling and simulation studies. Provenance, which encompasses information about the entities, activities, and agents involved in producing a model, experiment, or data, is pivotal in ...
Andreas Ruscheinski, Anja Wolpers, Philipp Henning, Pia Wilsdorf, Adelinde M Uhrmacher   +4 more
doaj   +2 more sources

Obscuring Provenance Confidential Information via Graph Transformation [PDF]

IFIP Advances in Information and Communication Technology, 2015
Provenance is a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted. PROV is a recent W3C specification for sharing provenance over the Web.
Luc Moreau, Vladimiro Sassone, Jamal Hussein   +2 more
exaly   +2 more sources

Provenance Graph-Based Deep Learning Framework for APT Detection in Edge Computing

Applied Sciences
Edge computing builds relevant services and applications on the edge server near the user side, which enables a faster service response. However, the lack of large-scale hardware resources leads to weak defense for edge devices.
Tianyi Wang, Wei Tang, Yuan Su, Jiliang Li   +3 more
doaj   +3 more sources

Graph Stream Compression Scheme Based on Pattern Dictionary Using Provenance

Applied Sciences
With recent advancements in network technology and the increasing popularity of the internet, the use of social network services and Internet of Things devices has flourished, leading to a continuous generation of large volumes of graph stream data ...
Hyeonbyeong Lee, Bokyoung Shin, Dojin Choi, Jongtae Lim, Kyoungsoo Bok, Jaesoo Yoo   +5 more
doaj   +3 more sources

DLProv: a suite of provenance services for deep learning workflow analyses [PDF]

PeerJ Computer Science
Deep learning (DL) workflows consist of multiple interdependent and repetitive steps, including data preparation, model training, evaluation, and deployment.
Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso   +4 more
doaj   +3 more sources

Managing Provenance Data in Knowledge Graph Management Platforms

Datenbank-Spektrum
AbstractKnowledge Graphs (KGs) present factual information about domains of interest. They are used in a wide variety of applications and in different domains, serving as powerful backbones for organizing and extracting knowledge from complex data. In both industry and academia, a variety of platforms have been proposed for managing Knowledge Graphs ...
Birgitta König-Ries, Samira Babalou, König-Ries Birgitta   +2 more
exaly   +2 more sources

Heterogeneous Provenance Graph Learning Model Based APT Detection [PDF]

Jisuanji kexue, 2023
APT(advanced persistent threat)are advanced persistent cyber-attack by hacker organizations to breach the target information system.Usually,the APTs are characterized by long duration and multiple attack techniques,making the traditional intrusion ...
DONG Chengyu, LYU Mingqi, CHEN Tieming, ZHU Tiantian
doaj   +1 more source