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Authors: Giovanni Abbiati 1 ; Silvio Ranise 2 ; Antonio Schizzerotto 3 and Alberto Siena 2

Affiliations: 1 Fondazione Rodolfo Debenedetti, Milan, Italy, Fondazione Bruno Kessler, Trento and Italy ; 2 Fondazione Bruno Kessler, Trento and Italy ; 3 University of Trento, Trento, Italy, Fondazione Bruno Kessler, Trento and Italy

ISBN: 978-989-758-369-8

Keyword(s): Cybersecurity, Data Analytics.

Abstract: Cyber security incidents can have dramatic economic, social and institutional impact. The task of providing an adequate cyber-security posture to companies and organisations is far far from trivial and need the collection of information about threats from a wide range of sources. One such a source is history in the form of datasets containing information about past cyber-security incidents including date, size, type of attacks, and industry sector. Unfortunately, there are few publicly available datasets of this kind that are of good quality. The paper reports our initial efforts in building a large datasets of cyber-security incidents that contains around 14,000 entries by merging a collection of four publicly available datasets of different size and provenance. We also perform an analysis of the combined dataset, discuss our findings, and discuss the limitations of the proposed approach.

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Paper citation in several formats:
Abbiati, G.; Ranise, S.; Schizzerotto, A. and Siena, A. (2019). Learning from Others’ Mistakes: An Analysis of Cyber-security Incidents.In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-369-8, pages 299-306. DOI: 10.5220/0007721202990306

@conference{iotbds19,
author={Giovanni Abbiati. and Silvio Ranise. and Antonio Schizzerotto. and Alberto Siena.},
title={Learning from Others’ Mistakes: An Analysis of Cyber-security Incidents},
booktitle={Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2019},
pages={299-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007721202990306},
isbn={978-989-758-369-8},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Learning from Others’ Mistakes: An Analysis of Cyber-security Incidents
SN - 978-989-758-369-8
AU - Abbiati, G.
AU - Ranise, S.
AU - Schizzerotto, A.
AU - Siena, A.
PY - 2019
SP - 299
EP - 306
DO - 10.5220/0007721202990306

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