Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations-Reference-Cited by-同舟云学术

Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning
language:
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Author:

Hegarty Michael¹,Sagduyu Yalin E.²,Erpek Tugba²,Shi Yi²

Affiliation:

1. Intelligent Automation, A BlueHalo Company, Rockville, MD, USA

2. Virginia Tech, Arlington, VA, USA

Funder

Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3522783.3529531

Reference21 articles.

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2. D. Agrawal , B. Archambeault , J. R. Rao , and P. Rohatgi , " The EM side-channel(s)," International Workshop on Cryptographic Hardware and Embedded Systems , pp. 29 -- 45 . Springer , Berlin, Heidelberg , 2002 . D. Agrawal, B. Archambeault, J. R. Rao, and P. Rohatgi, "The EM side-channel(s)," International Workshop on Cryptographic Hardware and Embedded Systems, pp. 29--45. Springer, Berlin, Heidelberg, 2002.

3. Compromising Emanations of LCD TV Sets

4. G. Goller and G. Sigl , " Side channel attacks on smartphones and embedded devices using standard radio equipment," International Workshop on Constructive Side-Channel Analysis and Secure Design , pp. 255 -- 270 . Springer , Cham , 2015 . G. Goller and G. Sigl, "Side channel attacks on smartphones and embedded devices using standard radio equipment," International Workshop on Constructive Side-Channel Analysis and Secure Design, pp. 255--270. Springer, Cham, 2015.

5. Bridging the Air Gap between Isolated Networks and Mobile Phones in a Practical Cyber-Attack

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