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(to be completed)

 


ThinkMind // International Journal On Advances in Security, volume 10, numbers 1 and 2, 2017 // View article sec_v10_n12_2017_3


A Formalised Approach to Designing Sonification Systems for Network-Security Monitoring

Authors:
Louise Axon
Jason R. C. Nurse
Michael Goldsmith
Sadie Creese

Keywords: Sonification; Network Security; Anomaly Detection; Network Monitoring; Formalised Model; Situational Awareness

Abstract:
Sonification systems, in which data are represented through sound, have the potential to be useful in a number of network-security monitoring applications in Security Operations Centres (SOCs). Security analysts working in SOCs generally monitor networks using a combination of anomaly-detection techniques, Intrusion Detection Systems 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, but many of these systems have not been sufficiently validated, and there is a lack of uptake in SOCs. Furthermore, little guidance exists on design requirements for the sonification of network data. In this paper, we identify the key role that sonification, if implemented correctly, could play in addressing shortcomings of traditional network-monitoring methods. Based on a review of prior research, we propose an approach to developing sonification systems for network monitoring. This approach involves the formalisation of a model for designing sonifications in this space; identification of sonification design aesthetics suitable for real-time network monitoring; and system refinement and validation through comprehensive user testing. As an initial step in this system development, we present a formalised model for designing sonifications for network-security monitoring. The application of this model is demonstrated through our development of prototype sonification systems for two different use-cases within network-security monitoring.

Pages: 26 to 47

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: June 30, 2017

Published in: journal

ISSN: 1942-2636

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