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Reflecting on the Use of Sonification for Network Monitoring

Axon, Louise, Creese, Sadie, Goldsmith, Michael, Nurse, Jason R. C. (2016) Reflecting on the Use of Sonification for Network Monitoring. In: ThinkMind. . pp. 254-261. IARIA ISBN 978-1-61208-493-0. (KAR id:67489)

Abstract

In Security Operations Centres (SOCs), computer networks are generally monitored using a combination of anomaly detection techniques, Intrusion Detection Systems (IDS) and data presented in visual and text-based forms. In the last two decades significant progress has been made in developing novel sonification systems to further support network monitoring tasks. A range of systems has been proposed in which sonified network data is presented for incorporation into the network monitoring process. Unfortunately, many of these have not been sufficiently validated and there is a lack of uptake in SOCs. In this paper, we describe and reflect critically on the shortcomings of traditional network-monitoring methods and identify the key role that sonification, if implemented correctly, could play in improving current monitoring capabilities. The core contribution of this position paper is in the outline of a research agenda for sonification for network monitoring, based on a review of prior research. In particular, we identify requirements for an aesthetic approach that is suitable for continuous real-time network monitoring; formalisation of an approach to designing sonifications in this space; and refinement and validation through comprehensive user testing.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Sonification; Network Security; Anomaly Detection; Network Monitoring
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Jason Nurse
Date Deposited: 03 Jul 2018 15:16 UTC
Last Modified: 05 Nov 2024 11:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67489 (The current URI for this page, for reference purposes)

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