Detecting Injection Attacks in ADS-B Devices Using RNN-Based Models-Reference-Cited by-同舟云学术

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Detecting Injection Attacks in ADS-B Devices Using RNN-Based Models

Published:2024-04-23 Issue: Volume:75 Page:1-8
ISSN:
Container-title:2024 Integrated Communications, Navigation and Surveillance Conference (ICNS)
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Author:

Khoei Tala Talaei¹,Ould Slimane Hadjar²,Shamaileh Khair Al³,Kumar Devabhaktuni Vijaya³,Kaabouch Naima²

Affiliation:

1. Roux Institute at Northeastern University,Khoury College of Computer Sciences,Portland,ME,USA,04101

2. University of North Dakota,School of Electrical Engineering and Computer Science,Grand Forks,ND,USA,58202

3. Illinois State University,Electrical and Computer Engineering Department,Normal,IL,USA,61761

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550189/10550451/10550816.pdf?arnumber=10550816

Reference34 articles.

1. Advisory Circular: Automatic Dependent Surveillance-Broadcast Operations,2019

2. Security Issues in Automatic Dependent Surveillance - Broadcast (ADS-B): A Survey

3. Automatic Dependent Surveillance-Broadcast ADS-B Out Performance Requirements to Support Air Traffic Control ATC Service;Final Rule, 14 CFR Part 91, Federal Register,2010

4. Certification Considerations for the Enhanced ATS in Non-Radar Areas using ADS-B Surveillance (ADS-B-NRA) Application via 1,090 MHz Extended Squitter;AMC 20-24, Germany,2008

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