Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/14058
Title: | Integrated space domain awareness and communication system | Authors: | Geçgel Çetin, Selen Özbek, Berna Karabulut Kurt, Güneş |
Keywords: | ISDAC Convolutional neural networks Jamming Receiving antennas Attacks scenarios Communications systems |
Publisher: | IEEE | Abstract: | Space has been reforming and this evolution brings new threats that, together with technological developments and malicious intent, can pose a major challenge. Space domain awareness (SDA), a new conceptual idea, has come to the forefront. It aims sensing, detection, identification and countermeasures by providing autonomy, intelligence and flexibility against potential threats in space. In this study, we first present an insightful and clear view of the new space. Secondly, we propose an integrated SDA and communication (ISDAC) system for attacker detection. We assume that the attacker has advanced communication capabilities to vary attack scenarios, such as random attacks on some receiver antennas. To track random patterns and meet SDA requirements, a lightweight convolutional neural network architecture is developed. The proposed ISDAC system shows superior and robust performance under 12 different super-attacker configurations with a detection accuracy of over 97.8%. © 2023 IEEE. | Description: | 97th IEEE Vehicular Technology Conference, VTC 2023-Spring -- 20 June 2023 through 23 June 2023 | URI: | https://doi.org/10.1109/VTC2023-Spring57618.2023.10201087 https://hdl.handle.net/11147/14058 |
ISBN: | 9798350311143 | ISSN: | 1550-2252 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
Integrated_Space.pdf | 1.96 MB | Adobe PDF | View/Open |
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