@conference {753, title = {Detecting Misreporting Attacks to the Proportional Fair Scheduler}, booktitle = {IEEE Workshop on Information Forensics and Security (WIFS)}, year = {2014}, month = {12/2014}, address = {Atlanta, USA}, abstract = {
The Proportional Fair Scheduler (PFS) has become
a popular channel-aware resource allocation method in wireless
networks, as it effectively exploits multiuser diversity while
providing fairness to users. PFS decisions on which mobile station
(MS) to schedule next are based on Channel Quality Indicator
(CQI) values. Since CQI values are reported by the MSs to the
scheduler, network performance can be severely degraded if some
malicious MSs report forged information. Previous approaches to
this security issue are based either on modifying PFS, which may
be undesirable in some contexts, or authenticating CQI reports
by periodic transmission of challenges, which increases overhead.
Instead, we propose to detect misreporting attackers, based on the
time correlation features of the wireless channel. Our approach
does not require scheduler modification, and it does not increase
overhead. Simulation results under realistic settings are provided
to show the effectiveness of the proposed test.
}, keywords = {adversarial signal processing, compass}, doi = {10.1109/WIFS.2014.7084310}, author = {Schmidt, J.F. and R. L{\'o}pez-Valcarce} }