TitleDetecting Misreporting Attacks to the Proportional Fair Scheduler
Publication TypeConference Paper
Year of Publication2014
AuthorsSchmidt, JF, López-Valcarce, R
Conference NameIEEE Workshop on Information Forensics and Security (WIFS)
Date Published12/2014
Conference LocationAtlanta, USA
Keywordsadversarial signal processing, compass
Abstract The Proportional Fair Scheduler (PFS) has becomea popular channel-aware resource allocation method in wirelessnetworks, as it effectively exploits multiuser diversity whileproviding 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 thescheduler, network performance can be severely degraded if somemalicious MSs report forged information. Previous approaches tothis security issue are based either on modifying PFS, which maybe undesirable in some contexts, or authenticating CQI reportsby periodic transmission of challenges, which increases overhead.Instead, we propose to detect misreporting attackers, based on thetime correlation features of the wireless channel. Our approachdoes not require scheduler modification, and it does not increaseoverhead. Simulation results under realistic settings are providedto show the effectiveness of the proposed test.