ARDC Research Link Australia

ORCID Profile
Orcid icon. 0000-0002-8295-9252

Current Organisations
TU Wien , National Institute of Informatics , Secure Business Austria

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Publications

Publication

Ultramafic nickel laterites in Indonesia (Sulawesi, Halmahera): Mining, nickel hyperaccumulators and opportunities for phytomining

Publisher: Elsevier BV

Date: 05-2013

DOI: 10.1016/J.GEXPLO.2013.01.009

Publication

SemIDEA: Towards a Semantic IoT Data Analytic Framework for Facilitating Environmental Protection

Publisher: IEEE

Date: 09-2019

DOI: 10.1109/ISCIT.2019.8905178

Publication

VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis

Publisher: MDPI AG

Date: 11-04-2022

DOI: 10.3390/MAKE4020016

Abstract: The integration of heterogeneous and weakly linked log data poses a major challenge in many log-analytic applications. Knowledge graphs (KGs) can facilitate such integration by providing a versatile representation that can interlink objects of interest and enrich log events with background knowledge. Furthermore, graph-pattern based query languages, such as SPARQL, can support rich log analyses by leveraging semantic relationships between objects in heterogeneous log streams. Constructing, materializing, and maintaining centralized log knowledge graphs, however, poses significant challenges. To tackle this issue, we propose VloGraph—a distributed and virtualized alternative to centralized log knowledge graph construction. The proposed approach does not involve any a priori parsing, aggregation, and processing of log data, but dynamically constructs a virtual log KG from heterogeneous raw log sources across multiple hosts. To explore the feasibility of this approach, we developed a prototype and demonstrate its applicability to three scenarios. Furthermore, we evaluate the approach in various experimental settings with multiple heterogeneous log sources and machines the encouraging results from this evaluation suggest that the approach can enable efficient graph-based ad-hoc log analyses in federated settings.

Publication