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Generative Adversarial Radio Spectrum Networks
Conference

Generative Adversarial Radio Spectrum Networks

Abstract

Simulating and imitating RF communications signals and systems is a core function of jammers, spoofers, and other attacks in wireless radio environments which seek to confuse spectrum users as to what is occurring in the spectrum around them. Replay attacks and "DRFMs" have long been commonly used to deceive and probe radio systems, however generative models introduce an interesting new angle wherein generative replay can now produce examples …

Authors

Roy T; O'Shea T; West N

Pagination

pp. 12-15

Publisher

Association for Computing Machinery (ACM)

Publication Date

May 15, 2019

DOI

10.1145/3324921.3328782

Name of conference

Proceedings of the ACM Workshop on Wireless Security and Machine Learning