Siren songs: a novel sonification method for network traffic and intrusion detection

Skarth-Hayley, Luke (2017) Siren songs: a novel sonification method for network traffic and intrusion detection. [Dissertation (University of Nottingham only)]

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Live and retrospective analysis of network traffic is a challenging task in any busy IT Department or Network Operating Centre. Examining graphs and log files is time-consuming, and alerts can be missed. As an alternative to visual representations this research investigates sonification, turning network data and attack signatures into audio, specifically music, that provides an ‘at-a-listen’ state of the network that during normal operation is easy to ignore and non-fatiguing for listeners, and during attacks clearly surfaces the type of attack with a unique combination of musical instrument and phrase.

Prior research has been carried out into network sonification, but reviews of the field reveal a lack of musicality and formal grammar in these sonifications, something this project seeks to redress. A series of prototypes are presented, leading to a flexible system where users can define their own musical phrases to represent network conditions and potential intrusions, from which future research could be made, examining the efficacy of various forms of musical sonification.

Item Type: Dissertation (University of Nottingham only)
Keywords: Network Sonification, Network Security, Intrusion Detection Sys¬tem, IDS, NIDS, HIDS, Sonification, Audialisation, MIDI, Generative Music, Data to Audio, Data to Music
Depositing User: Gonzalez-Orbegoso, Mrs Carolina
Date Deposited: 05 Jan 2018 12:17
Last Modified: 09 Jan 2018 14:16

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