TY - GEN
T1 - Poster abstract
T2 - 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
AU - Bae, Seoungbin
AU - Kim, Youngki
AU - Roh, Heejun
AU - Lee, Wonjun
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C2088812). Wonjun Lee is the corresponding author.
PY - 2020/7
Y1 - 2020/7
N2 - In multi-user MIMO (MU-MIMO) systems using zero-forcing beamforming (ZFBF), an Access Point (AP) utilizes downlink channel state information (CSI) to transmit data streams to multiple clients simultaneously. Since private information of clients can be extracted from CSI, leaking CSI to attackers is considered as harmful so that some research efforts suggest to encrypt CSI feedback. However, a recent study shows that an attacker can infer CSI by eavesdropping data streams with known symbols, not the feedback. To this end, we propose CSIstray that intentionally increases the proportion of inter-client interference to suppress CSI leakage while maintaining bit error rates (BERs) at the clients. Simulation results with a 2×2 MU-MIMO scenario show that CSIstray effectively degrades the attack performance with little impact on downlink transmission. We further implement CSIstray on our testbed to validate the proposed mechanism works properly in a room-scale environment as well as in simulation results.
AB - In multi-user MIMO (MU-MIMO) systems using zero-forcing beamforming (ZFBF), an Access Point (AP) utilizes downlink channel state information (CSI) to transmit data streams to multiple clients simultaneously. Since private information of clients can be extracted from CSI, leaking CSI to attackers is considered as harmful so that some research efforts suggest to encrypt CSI feedback. However, a recent study shows that an attacker can infer CSI by eavesdropping data streams with known symbols, not the feedback. To this end, we propose CSIstray that intentionally increases the proportion of inter-client interference to suppress CSI leakage while maintaining bit error rates (BERs) at the clients. Simulation results with a 2×2 MU-MIMO scenario show that CSIstray effectively degrades the attack performance with little impact on downlink transmission. We further implement CSIstray on our testbed to validate the proposed mechanism works properly in a room-scale environment as well as in simulation results.
KW - Channel state information leakage
KW - Interference
KW - Multi-user MIMO
KW - Zero-forcing beamforming
UR - http://www.scopus.com/inward/record.url?scp=85091500269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091500269&partnerID=8YFLogxK
U2 - 10.1109/INFOCOMWKSHPS50562.2020.9162658
DO - 10.1109/INFOCOMWKSHPS50562.2020.9162658
M3 - Conference contribution
AN - SCOPUS:85091500269
T3 - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
SP - 1364
EP - 1365
BT - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 July 2020 through 9 July 2020
ER -