(In) Security in Graph Databases - Analysis and Data Leaks

Miguel Hernández Boza, Alfonso Muñoz Muñoz

2017

Abstract

Graph databases are an emerging technology useful in the field of cybersecurity, especially in the detection of new threats based on the correlation of diverse sources of information. In our research, we had reviewed the design of the most widespread graph databases, for example Neo4J and OrientDB, detecting several security problems, improper default configurations and leaks, scanning the Internet during 9 months. To repeat our proofs, we are releasing the first hacking tool for testing and detecting (in) secure graph databases, GraFScaN.

Paper Citation

in Harvard Style

Hernández Boza M. and Muñoz Muñoz A. (2017). (In) Security in Graph Databases - Analysis and Data Leaks . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 303-310. DOI: 10.5220/0006419003030310

in Bibtex Style

@conference{secrypt17,
author={Miguel Hernández Boza and Alfonso Muñoz Muñoz},
title={(In) Security in Graph Databases - Analysis and Data Leaks},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={303-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006419003030310},
isbn={978-989-758-259-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - (In) Security in Graph Databases - Analysis and Data Leaks
SN - 978-989-758-259-2
AU - Hernández Boza M.
AU - Muñoz Muñoz A.
PY - 2017
SP - 303
EP - 310
DO - 10.5220/0006419003030310