Centralised and portable 'network forensics' using smartphone-based diagnostics: Case study - The mapping of tap water pH across Sydney, Australia

Hossain, MA; Canning, J; Ast, S; Rutledge, PJ; Webster, R; Jamalipour, A

Centralised and portable 'network forensics' using smartphone-based diagnostics: Case study - The mapping of tap water pH across Sydney, Australia

Hossain, MA Canning, J

Ast, S Rutledge, PJ Webster, R Jamalipour, A

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Publication Type:: Conference Proceeding
Citation:: 2014 IEEE Photonics Conference, IPC 2014, 2014, pp. 564 - 565
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Hossain, MA	en_US
dc.contributor.author	Canning, J https://orcid.org/0000-0001-8281-7783	en_US
dc.contributor.author	Ast, S	en_US
dc.contributor.author	Rutledge, PJ	en_US
dc.contributor.author	Webster, R	en_US
dc.contributor.author	Jamalipour, A	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	2014 IEEE Photonics Conference, IPC 2014, 2014, pp. 564 - 565	en_US
dc.identifier.isbn	9781457715044	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121180
dc.description.abstract	© 2014 IEEE. Using a field portable, smartphone fluorometer for assessing water quality, a pH map of drinking water around Sydney is obtained. The work demonstrates a new security concept - network forensics - based on a novel smartgrid approach for the potential detection of water quality disruption.	en_US
dc.relation.ispartof	2014 IEEE Photonics Conference, IPC 2014	en_US
dc.relation.isbasedon	10.1109/IPCon.2014.6995265	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Centralised and portable 'network forensics' using smartphone-based diagnostics: Case study - The mapping of tap water pH across Sydney, Australia	en_US
dc.type	Conference Proceeding
utslib.for	0205 Optical Physics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. Using a field portable, smartphone fluorometer for assessing water quality, a pH map of drinking water around Sydney is obtained. The work demonstrates a new security concept - network forensics - based on a novel smartgrid approach for the potential detection of water quality disruption.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121180