Software Updates Monitoring & Anomaly Detection

Imanol Etxezarreta Martinez, David García Villaescusa, Imanol Mugarza, Irune Yarza, Irune Agirre

2023

Abstract

Security is becoming a must in the current all-connected paradigm. Software updates are essential to fix any new identified security flaw or vulnerability that may appear as they normally are the fastest and cheapest solution. Nevertheless, a software update targeted to fix a determined issue could end up in a different problem. In order to detect these new issues, systems should be able to gather monitoring data so that possible effects and consequences are observed and characterized. This is specially relevant when upgrades are performed remotely, like in road vehicles, and no prior outcome information is available to the manufacturer. In this paper, a software updates monitoring, an anomaly detection procedure and a proof-of-concept are presented. The monitoring and anomaly detection approach enable the detection of performance anomalies that could result for instance, from malicious code installation during an update. This offline monitoring information can also be used for further system design improvements and to facilitate the review and assessing processes of security issues.

Paper Citation

in Harvard Style

Etxezarreta Martinez I., García Villaescusa D., Mugarza I., Yarza I. and Agirre I. (2023). Software Updates Monitoring & Anomaly Detection. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-643-9, SciTePress, pages 115-122. DOI: 10.5220/0011822000003482

in Bibtex Style

@conference{iotbds23,
author={Imanol Etxezarreta Martinez and David García Villaescusa and Imanol Mugarza and Irune Yarza and Irune Agirre},
title={Software Updates Monitoring & Anomaly Detection},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2023},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011822000003482},
isbn={978-989-758-643-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Software Updates Monitoring & Anomaly Detection
SN - 978-989-758-643-9
AU - Etxezarreta Martinez I.
AU - García Villaescusa D.
AU - Mugarza I.
AU - Yarza I.
AU - Agirre I.
PY - 2023
SP - 115
EP - 122
DO - 10.5220/0011822000003482
PB - SciTePress