MCR Decoding: A MIMO approach for defending against wireless jamming attacks

This paper presents a novel technique - Multi-Channel Ratio (MCR) Decoding, which aims at providing an anti-jamming wireless communication capability for multi-antenna wireless devices. The basic idea of MCR decoding is to fully leverage the repeated preamble signals and the multi-channel characteristics in MIMO communications to detect and recover the desired transmission signals under constant and reactive jamming attacks. This paper also reports the analysis, implementation, and experimental evaluations of MCR decoding on a software-defined radio platform - GNURadio and USRP, which show that the proposed MCR decoding can detect the desired transmission reliably under the jamming attack and remove jamming signals effectively in the real world environment.

[1]  Srdjan Capkun,et al.  Jamming-resistant Key Establishment using Uncoordinated Frequency Hopping , 2008, 2008 IEEE Symposium on Security and Privacy (sp 2008).

[2]  Peng Ning,et al.  USD-FH: Jamming-resistant wireless communication using Frequency Hopping with Uncoordinated Seed Disclosure , 2010, The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010).

[3]  Srdjan Capkun,et al.  Anti-jamming broadcast communication using uncoordinated spread spectrum techniques , 2010, IEEE Journal on Selected Areas in Communications.

[4]  Injong Rhee,et al.  ADOPT: Practical Add-On MIMO Receiver for Concurrent Transmissions , 2012 .

[5]  Peng Ning,et al.  Defending DSSS-based broadcast communication against insider jammers via delayed seed-disclosure , 2010, ACSAC '10.

[6]  Peng Ning,et al.  Ally Friendly Jamming: How to Jam Your Enemy and Maintain Your Own Wireless Connectivity at the Same Time , 2013, 2013 IEEE Symposium on Security and Privacy.

[7]  Srinivasan Seshan,et al.  Clearing the RF smog: making 802.11n robust to cross-technology interference , 2011, SIGCOMM.

[8]  Wei Wang,et al.  SAM: enabling practical spatial multiple access in wireless LAN , 2009, MobiCom '09.

[9]  Jung-Shan Lin,et al.  Communications Engineering: Essentials for Computer Scientists and Electrical Engineers , 2007 .

[10]  Srinivasan Seshan,et al.  Clearing the RF smog: making 802.11n robust to cross-technology interference , 2011, SIGCOMM.

[11]  Richard G. Lyons,et al.  Understanding Digital Signal Processing , 1996 .

[12]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[13]  Heinrich Meyr,et al.  Digital communication receivers - synchronization, channel estimation, and signal processing , 1997, Wiley series in telecommunications and signal processing.

[14]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[15]  Peng Ning,et al.  Randomized Differential DSSS: Jamming-Resistant Wireless Broadcast Communication , 2010, 2010 Proceedings IEEE INFOCOM.

[16]  Piero Castoldi Multiuser Detection in CDMA Mobile Terminals , 2002 .

[17]  David Gesbert,et al.  From theory to practice: an overview of MIMO space-time coded wireless systems , 2003, IEEE J. Sel. Areas Commun..

[18]  Dina Katabi,et al.  Zigzag decoding: combating hidden terminals in wireless networks , 2008, SIGCOMM '08.