M3A: Multipath Multicarrier Misinformation to Adversaries

Oct 2, 2023·
Zhecun Liu
,
Keerthi Priya Dasala
,
Di Mu
Rahman Doost-Mohammady
Rahman Doost-Mohammady
,
Edward W. Knightly
· 0 min read
Abstract
Wireless eavesdroppers can leverage multipath propagation and multicarrier signaling to extract information about a transmission’s intended recipient. M3A turns this around: by deliberately injecting multipath multicarrier “misinformation,” a legitimate transmitter shapes the signal an adversary observes so that the adversary’s inference about the legitimate channel — and any covert messages carried on it — is corrupted, while the intended receiver decodes reliably. We design, prototype, and evaluate M3A on a multi-antenna testbed.
Type
Publication
In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (MobiCom)
publications
Authors
Authors
Rahman Doost-Mohammady
Authors
Assistant Research Professor
I work at the intersection of computer systems and wireless networking — building programmable, intelligent infrastructure for 5G/6G and Open RAN. A common thread across my projects is algorithm and system design across FPGA, GPU, and CPU — spanning real-time massive MIMO baseband on commodity servers, many-antenna hardware platforms, and learning-driven schedulers. I am currently focused on virtualized Open RAN systems and ML-enabled RAN software design.