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Authors: Benjamin Aziz and Alaa Mohasseb

Affiliation: School of Computing, University of Portsmouth, Portsmouth, U.K.

Keyword(s): Cyber Security, Datasets, Risk Analysis, Text Mining, Machine Learning.

Abstract: The prediction of incident features, for example through the use of text analysis and mining techniques, is one method by which the risk underlying Cyber security incidents can be managed and contained. In this paper, we define risk as the product of the probability of misjudging incident features and the impact such misjudgment could have on incident responses. We apply our idea to a simple case study involving a dataset of Cyber intrusion incidents in South Korean enterprises. We investigate a few problems. First, the prediction of response actions to future incidents involving malware and second, the utilisation of the knowledge of the response actions in guiding analysis to determine the type of malware or the name of the malicious code.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Aziz, B. and Mohasseb, A. (2022). Using Feature Analysis to Guide Risk Calculations of Cyber Incidents. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-613-2; ISSN 2184-3252, SciTePress, pages 190-195. DOI: 10.5220/0011561200003318

@conference{webist22,
author={Benjamin Aziz. and Alaa Mohasseb.},
title={Using Feature Analysis to Guide Risk Calculations of Cyber Incidents},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST},
year={2022},
pages={190-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011561200003318},
isbn={978-989-758-613-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST
TI - Using Feature Analysis to Guide Risk Calculations of Cyber Incidents
SN - 978-989-758-613-2
IS - 2184-3252
AU - Aziz, B.
AU - Mohasseb, A.
PY - 2022
SP - 190
EP - 195
DO - 10.5220/0011561200003318
PB - SciTePress

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