LTE misbehavior detection in wi-fi/LTE coexistence under the LAA-LTE Standard

Samy, I; Lazos, L; Xiao, Y; Li, M; Krunz, M

LTE misbehavior detection in wi-fi/LTE coexistence under the LAA-LTE Standard

Samy, I Lazos, L Xiao, Y Li, M Krunz, M

Permalink

Publication Type:: Conference Proceeding
Citation:: WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2018, pp. 87 - 98
Issue Date:: 2018-06-18

Closed Access

	Filename	Description	Size
	WiSec18.pdf	Published version	979.07 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Samy, I	en_US
dc.contributor.author	Lazos, L	en_US
dc.contributor.author	Xiao, Y	en_US
dc.contributor.author	Li, M	en_US
dc.contributor.author	Krunz, M	en_US
dc.date.issued	2018-06-18	en_US
dc.identifier.citation	WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2018, pp. 87 - 98	en_US
dc.identifier.isbn	9781450357319	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132879
dc.description.abstract	© 2018 Association for Computing Machinery. In this paper, we consider the fair coexistence between LTE and Wi-Fi systems in unlicensed bands. We focus on the misbehavior opportunities that stem from the heterogeneity of the coexisting systems and the lack of explicit coordination mechanisms. We show that a selfishly behaving LTE can gain an unfair share of the spectrum resources through the manipulation of the parameters defined in the LAA-LTE standard, including the manipulation of the backoff mechanism of LAA, the traffic class, the clear channel assignment threshold and others. We develop a detection mechanism for the Wi-Fi system that can identify a misbehaving LTE system. Our mechanism advances the state of the art by providing an accurate monitoring method of the LTE behavior under various topological scenarios, without explicit cross-system coordination. Deviations from the expected behavior are determined by computing the statistical distance between the protocol-specified and estimated distributions of the LAA-LTE protocol parameters. We analytically characterize the detection and false alarm probabilities and show that our detector yields high detection accuracy at very low false alarm rate, for a wise choice of statistical parameters.	en_US
dc.relation.ispartof	WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks	en_US
dc.relation.isbasedon	10.1145/3212480.3212485	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	LTE misbehavior detection in wi-fi/LTE coexistence under the LAA-LTE Standard	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	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
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 Association for Computing Machinery. In this paper, we consider the fair coexistence between LTE and Wi-Fi systems in unlicensed bands. We focus on the misbehavior opportunities that stem from the heterogeneity of the coexisting systems and the lack of explicit coordination mechanisms. We show that a selfishly behaving LTE can gain an unfair share of the spectrum resources through the manipulation of the parameters defined in the LAA-LTE standard, including the manipulation of the backoff mechanism of LAA, the traffic class, the clear channel assignment threshold and others. We develop a detection mechanism for the Wi-Fi system that can identify a misbehaving LTE system. Our mechanism advances the state of the art by providing an accurate monitoring method of the LTE behavior under various topological scenarios, without explicit cross-system coordination. Deviations from the expected behavior are determined by computing the statistical distance between the protocol-specified and estimated distributions of the LAA-LTE protocol parameters. We analytically characterize the detection and false alarm probabilities and show that our detector yields high detection accuracy at very low false alarm rate, for a wise choice of statistical parameters.

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

http://hdl.handle.net/10453/132879