GRANEF: Utilization of a Graph Database for Network Forensics

Milan Cermak, Denisa Sramkova

2021

Abstract

Understanding the information in captured network traffic, extracting the necessary data, and performing incident investigations are principal tasks of network forensics. The analysis of such data is typically performed by tools allowing manual browsing, filtering, and aggregation or tools based on statistical analyses and visualizations facilitating data comprehension. However, the human brain is used to perceiving the data in associations, which these tools can provide only in a limited form. We introduce a GRANEF toolkit that demonstrates a new approach to exploratory network data analysis based on associations stored in a graph database. In this article, we describe data transformation principles, utilization of a scalable graph database, and data analysis techniques. We then discuss and evaluate our proposed approach using a realistic dataset. Although we are at the beginning of our research, the current results show the great potential of association-based analysis.

Paper Citation

in Harvard Style

Cermak M. and Sramkova D. (2021). GRANEF: Utilization of a Graph Database for Network Forensics. In Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-524-1, pages 785-790. DOI: 10.5220/0010581807850790

in Bibtex Style

@conference{secrypt21,
author={Milan Cermak and Denisa Sramkova},
title={GRANEF: Utilization of a Graph Database for Network Forensics},
booktitle={Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2021},
pages={785-790},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010581807850790},
isbn={978-989-758-524-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - GRANEF: Utilization of a Graph Database for Network Forensics
SN - 978-989-758-524-1
AU - Cermak M.
AU - Sramkova D.
PY - 2021
SP - 785
EP - 790
DO - 10.5220/0010581807850790