Deep Learning for Cyber Deception in Wireless Networks-Reference-Cited by-同舟云学术

Deep Learning for Cyber Deception in Wireless Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Mobility, Sensing and Networking (MSN)
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Author:

Olowononi Felix O.¹,Anwar Ahmed H.²,Rawat Danda B.¹,Acosta Jaime C.²,Kamhoua Charles A.²

Affiliation:

1. Howard University,Department of Electrical Engineering and Computer Science,DC,USA

2. U.S. Army Research Laboratory,Adelphi,MD,USA

Funder

Army Research Laboratory

Howard University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751460/9751461/09751550.pdf?arnumber=9751550

Reference31 articles.

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2. Adam: A method for stochastic optimization;kingma;arXiv preprint arXiv 1412 6980,2014

3. Game Theory on Attack Graph for Cyber Deception

4. A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning

5. Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey;pirayesh;arXiv preprint arXiv 2101 06286,2021

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