A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing

Tiberiu Boros, Andrei Cotaie, Kumar Vikramjeet, Vivek Malik, Lauren Park, Nick Pachis

2021

Abstract

We propose a principled method of enriching security related information for running processes. Our methodology applies to large organizational infrastructures, where information is properly collected and stored. The data we use is based on the Hubble Stack (an open-source project), but any alternative solution that provides the same type of information will suffice. Using statistical and natural language processing (NLP) methods we enrich our data with tags and we provide an analysis on how these tags can be used in Machine Learning approaches for anomaly detection.

Paper Citation

in Harvard Style

Boros T., Cotaie A., Vikramjeet K., Malik V., Park L. and Pachis N. (2021). A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-504-3, pages 140-147. DOI: 10.5220/0010381401400147

in Bibtex Style

@conference{iotbds21,
author={Tiberiu Boros and Andrei Cotaie and Kumar Vikramjeet and Vivek Malik and Lauren Park and Nick Pachis},
title={A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2021},
pages={140-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010381401400147},
isbn={978-989-758-504-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing
SN - 978-989-758-504-3
AU - Boros T.
AU - Cotaie A.
AU - Vikramjeet K.
AU - Malik V.
AU - Park L.
AU - Pachis N.
PY - 2021
SP - 140
EP - 147
DO - 10.5220/0010381401400147