Performing Sniffing and Spoofing Attack Against ADS-B and Mode S using Software Define Radio

TajDini, Mahyar and Sokolov, V. Y. and Skladannyi, Pavlo (2021) Performing Sniffing and Spoofing Attack Against ADS-B and Mode S using Software Define Radio IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics. pp. 7-11. ISSN 978-166542652-7

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his paper discusses the aviation Automatic Dependent Surveillance-Broadcast Vulnerabilities such as Sniffing and Spoofing over it with the help of Software Defined Radio (SDR) by looking at data frame structure and no encryption on this kind of message, we were able to capture 1090 MHz and 978 MHz signals and decoding them and gather all necessary information from it. Then we tried to have visual information by using VirtualRadar and online aviation databases. So we successfully could regenerate and encode messages with our data input and resend them at the same frequency as we captured 1090 MHz. That led us to a spoofing attack, which we could confirm by receiving our own generated messages. And in the end, we had an idea to use Long Short-Term Memory (LSTM) neural network to detect such spoofing attacks.

Item Type: Article
Uncontrolled Keywords: ADS-B; Mode S; SDR; sniffing; software-defined radio; spoofing
Subjects: Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus
Divisions: Це архівні підрозділи Київського університету імені Бориса Грінченка > Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки імені професора Володимира Бурячка
Depositing User: Павло Миколайович Складанний
Date Deposited: 05 Apr 2022 10:38
Last Modified: 05 Apr 2022 10:38

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