Detection of Spoofing Attacks in Aeronautical Ad-Hoc Networks Using Deep Autoencoders-Reference-Cited by-同舟云学术

Detection of Spoofing Attacks in Aeronautical Ad-Hoc Networks Using Deep Autoencoders

Published:2022 Issue: Volume:17 Page:1010-1023
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Hoang Tiep M.¹^ORCID,van Chien Trinh²^ORCID,van Luong Thien³^ORCID,Chatzinotas Symeon²^ORCID,Ottersten Bjorn²^ORCID,Hanzo Lajos¹^ORCID

Affiliation:

1. School of Electronics and Computer Science, University of Southampton, Southampton, U.K

2. Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg

3. Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam

Funder

European Research Council (ERC) Grant (AGNOSTIC Actively enhanced cognition-based framework for design of complex systems) at the University of Luxembourg

Engineering and Physical Sciences Research Council

European Research Council’s Advanced Fellow Grant QuantCom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9652463/09724185.pdf?arnumber=9724185

Reference34 articles.

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4. Exact and Large Sample Maximum Likelihood Techniques for Parameter Estimation and Detection in Array Processing

5. Searching for activation functions;ramachandran;arXiv 1710 05941,2017

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