TY - GEN
T1 - LTE misbehavior detection in wi-fi/LTE coexistence under the LAA-LTE Standard
AU - Samy, Islam
AU - Lazos, Loukas
AU - Xiao, Yong
AU - Li, Ming
AU - Krunz, Marwan
N1 - Funding Information:
This work was supported in part by NSF (grants # IIP-1265960, CNS-1409172, CNS-1563655, CNS-1731164, CNS-1619728, and CNS-1564477) and by the Broadband Wireless Access & Applications Center (BWAC). Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the author(s) and do not necessarily reflect the views of NSF.
Funding Information:
This work was supported in part by NSF (grants # IIP-1265960, CNS-1409172, CNS-1563655, CNS- 1731164, CNS-1619728, and CNS-1564477) and by the Broadband Wireless Access & Applications Center (BWAC). Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the author(s) and do not necessarily reflect the views of NSF.
Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/18
Y1 - 2018/6/18
N2 - 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.
AB - 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.
KW - Backoff manipulation
KW - Coexistence
KW - LTE-LAA
KW - LTE-Unlicensed
KW - Misbehavior detection
KW - Spectrum access
KW - Wi-Fi
UR - http://www.scopus.com/inward/record.url?scp=85050952599&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050952599&partnerID=8YFLogxK
U2 - 10.1145/3212480.3212485
DO - 10.1145/3212480.3212485
M3 - Conference contribution
AN - SCOPUS:85050952599
T3 - WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks
SP - 87
EP - 98
BT - WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PB - Association for Computing Machinery, Inc
T2 - 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2018
Y2 - 18 June 2018 through 20 June 2018
ER -