Augmenting Wireless Security using Zero-Forcing Beamforming

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Presentation transcript:

Augmenting Wireless Security using Zero-Forcing Beamforming Masters Defense Narendra Anand Advisor: Dr. Edward Knightly 4/8/11

Motivation E E IU Problem: Omnidirectional E Problem: Omnidirectional Transmissions broadcast signal energy everywhere allowing any user in range to overhear the transmission. E AP WEP/WPA IU Indoors (eg. Coffee Shop)

Motivation E E E IU Problem: Potential Solution: Keep signal away from E with Single-User Beamforming or Directional Antenna E Problem: Single Target directional methods are agnostic to user locations other than IU. Multi-path effects and knowledge of IU location can be used to compromise the transmission. Multi-Path E AP IU **Beampatterns for Illustration purposes only. E LOS Indoors (eg. Coffee Shop)

Solution Problem: How can we reliably keep eavesdroppers from decoding the IU’s data? Solution: Simultaneously Blind (actively interfere) Eavesdroppers while serving the IU. How: By leveraging the multi-stream/user abilities of recent multi-antenna technologies (802.11n/ac) AP creates simultaneous streams Use one for IU Use remaining to Blind Eavesdroppers S TR O B E imultaneous ansmission with rthogonally linded avesdroppers

STROBE Overview E E IU STROBE: Leverages existing multi-stream capabilities Cross-layer approach but requires minimal hardware modification (11n/ac compatible) Coexists with existing security protocols Blinding Streams AP IU **Beampatterns for Illustration purposes only. E Indoors (eg. Coffee Shop)

Orthogonal Blinding 802.11n/ac use Zero-Forcing Beamforming (ZFBF) for multiple stream creation Requires CSI for each antenna path to each user (row vector in H matrix) Coping with Limited CSI STROBE only has CSI for IU Fills other rows with orthogonal h vectors

Background Zero Forcing Beamforming (ZFBF) Assume 4 Tx Antennas and 3 single-antenna receivers hk's – H for each recv. Calculate weights with pseudo-inverse wj's “Zero Interference” Condition

Orthogonal Blinding Limited Channel State Information (CSI) Only know IU’s channel (h vector) Generate orthogonal h vectors using Gram-Schmidt Orthonormalization process New H matrix is unitary (pseudo-inverse is complex conjugate transpose) Intended user’s steering weight is equivalent to SUBF Ease of implementation/integration ZFBF systems can use QR-decomposition (followed by backsubstitution) to calculate pseudo-inverse QR is used to implement Gram-Schmidt (existing silicon can be re-used for STROBE)

Prior Work Beamforming-based multiple AP cooperation J. Carey and D. Grunwald. Enhancing WLAN security with smart antennas: a physical layer response for information assurance. In Proc. IEEE Vehicular Technology Conference, September 2004. S. Lakshmanan, C. Tsao, R. Sivakumar, and K. Sundaresan. Securing Wireless Data Networks against Eavesdropping using Smart Antennas. In The 28th International Conference on Distributed Computing Systems, Beijing, China, June 2008. Information theoretic multi-antenna security S. Goel and R. Negi. Guaranteeing secrecy using artificial noise. IEEE Transactions on Communications, 7(6):2180–2189, June 2008. L. Dong, Z. Han, A. Petropulu, and V. Poor. Improving wireless physical layer security via cooperating relays. IEEE Transactions on Signal Processing, 58(3):1875–1888, March 2010.

Experimental Methodology STROBE implemented in WARPLab using ZFBF testbed developed in: E. Aryafar, N. Anand, T. Salonidis, and E. Knightly. Design and experimental evaluation of multi-user beamforming in Wireless LANs. In Proc. ACM MobiCom, Chicago, Illinois, September 2010 Performance Metric: Received signal strength (dB)

Experimental Methodology Scheme Comparisons Non-Directional Omnidirectional (Omni) Single-Target Directional Single-User Beamforming (SUBF) Directional Antenna (DA) Multi-Target Directional Cooperating Eavesdropper (CE) STROBE Unrealistic scenario in which Eavesdroppers provide AP with their CSI to be precisely blinded.

Experimental Methodology Scheme Comparisons Non-Directional Omnidirectional (Omni) Single-Target Directional Single-User Beamforming (SUBF) Directional Antenna (DA) Multi-Target Directional Cooperating Eavesdropper (CE) STROBE Fairness Net transmit power equivalent for all schemes

Experiments Baseline Relative Eavesdropper location How does STROBE perform in a typical, indoor, wireless scenario? Relative Eavesdropper location How does STROBE cope with varying eavesdropper proximity to IU? How does STROBE handle eavesdroppers in-line with IU? Verifying necessity of multi-path (outdoor) How dependent is STROBE on multi-path scattering characteristic of indoor WLAN environments? Nomadic Eavesdropper Is it possible for an eavesdropper to exhaustively traverse an environment to find a location where STROBE’s performance diminishes?

Baseline

Baseline Omni - In range clients receive transmission with high SINR, distance from transmitter is not always a good predictor

Baseline Omni - In range clients receive transmission with high SINR, distance from transmitter is not always a good predictor SUBF – Maximizes SINR at IU but agnostic to signal energy afterwards

Baseline Omni - In range clients receive transmission with high SINR, distance from transmitter is not always a good predictor SUBF – Maximizes SINR at IU but agnostic to signal energy afterwards STROBE – Serves IU with high SINR, restricts E SINR to < 4dB

Baseline Omni - In range clients receive transmission with high SINR, distance from transmitter is not always a good predictor SUBF – Maximizes SINR at IU but agnostic to signal energy afterwards STROBE – Serves IU with high SINR, restricts E SINR to < 4dB CE – Precise blinding of E comes at the cost of SINR served to IU

Experiments Baseline Relative Eavesdropper location How does STROBE perform in a typical, indoor, wireless scenario? Relative Eavesdropper location How does STROBE cope with varying eavesdropper proximity to IU? How does STROBE handle eavesdroppers in-line with IU? Verifying necessity of multi-path (outdoor) How dependent is STROBE on multi-path scattering characteristic of indoor WLAN environments? Nomadic Eavesdropper Is it possible for an eavesdropper to exhaustively traverse an environment to find a location where STROBE’s performance diminishes?

Relative E Location: Proximity

Relative E Location: Proximity Omni - High SINR variability indicator of multipath effects

Relative E Location: Proximity Omni/SUBF - High SINR variability indicator of multipath effects

Relative E Location: Proximity Omni/SUBF - High SINR variability indicator of multipath effects CE – Precise blinding regardless of distance, consistent results regardless of multi-path

Relative E Location: Proximity Omni/SUBF - High SINR variability indicator of multipath effects CE – Precise blinding regardless of distance, consistent results regardless of multi-path STROBE – Mildly affected at close distances, consistent results regardless of multi-path, provides far greater SINR to IU than CE

Experiments Baseline Relative Eavesdropper location How does STROBE perform in a typical, indoor, wireless scenario? Relative Eavesdropper location How does STROBE cope with varying eavesdropper proximity to IU? How does STROBE handle eavesdroppers in-line with IU? Verifying necessity of multi-path (outdoor) How dependent is STROBE on multi-path scattering characteristic of indoor WLAN environments? Nomadic Eavesdropper Is it possible for an eavesdropper to exhaustively traverse an environment to find a location where STROBE’s performance diminishes?

Relative E Location: In-Line

Relative E Location: In-Line Omni – SINR not predicted by location in line SUBF – Single-target directional scheme; to defeat, get in LOS STROBE – Multiple eavesdroppers in direct LOS between IU and Tx are successfully blinded CE – Precise blinding comes at a price.

Experiments Baseline Relative Eavesdropper location How does STROBE perform in a typical, indoor, wireless scenario? Relative Eavesdropper location How does STROBE cope with varying eavesdropper proximity to IU? How does STROBE handle eavesdroppers in-line with IU? Verifying necessity of multi-path (outdoor) How dependent is STROBE on multi-path scattering characteristic of indoor WLAN environments? Nomadic Eavesdropper Is it possible for an eavesdropper to exhaustively traverse an environment to find a location where STROBE’s performance diminishes?

Verifying necessity of Multi-Path

Verifying necessity of Multi-Path Outdoors Multi-Stream methods fail outdoors STROBE becomes directional CE completely fails

Experiments Baseline Relative Eavesdropper location How does STROBE perform in a typical, indoor, wireless scenario? Relative Eavesdropper location How does STROBE cope with varying eavesdropper proximity to IU? How does STROBE handle eavesdroppers in-line with IU? Verifying necessity of multi-path (outdoor) How dependent is STROBE on multi-path scattering characteristic of indoor WLAN environments? Nomadic Eavesdropper Is it possible for an eavesdropper to exhaustively traverse an environment to find a location where STROBE’s performance diminishes?

Nomadic Eavesdropper

Nomadic Eavesdropper

Nomadic Eavesdropper

Nomadic Eavesdropper

Nomadic Eavesdropper

Conclusion Verified STROBE’s performance in indoor environments Functionality does not degrade with relative eavesdropper position STROBE’s performance is due to indoor multi-path effects Verified by outdoor testing STROBE successfully withstands attacks from a nomadic eavesdropper On average, STROBE provides the IU with a 15 dB stronger signal than the eavesdropper