Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/14058
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cetin, S.G. | - |
dc.contributor.author | Ozbek, B. | - |
dc.contributor.author | Kurt, G.K. | - |
dc.date.accessioned | 2023-11-11T08:57:57Z | - |
dc.date.available | 2023-11-11T08:57:57Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9798350311143 | - |
dc.identifier.issn | 1550-2252 | - |
dc.identifier.uri | https://doi.org/10.1109/VTC2023-Spring57618.2023.10201087 | - |
dc.identifier.uri | https://hdl.handle.net/11147/14058 | - |
dc.description | 97th IEEE Vehicular Technology Conference, VTC 2023-Spring -- 20 June 2023 through 23 June 2023 -- 191756 | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | IEEE Vehicular Technology Conference | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | integrated space domain awareness and communication, jamming, new space | en_US |
dc.subject | Convolutional neural networks | en_US |
dc.subject | Jamming | en_US |
dc.subject | Receiving antennas | en_US |
dc.subject | Attacks scenarios | en_US |
dc.subject | Awareness systems | en_US |
dc.subject | Communication capabilities | en_US |
dc.subject | Communications systems | en_US |
dc.subject | Detection/identification | en_US |
dc.subject | Integrated space domain awareness and communication, jamming, new space | en_US |
dc.subject | Potential threats | en_US |
dc.subject | Random attacks | en_US |
dc.subject | Space domain | en_US |
dc.subject | Technological development | en_US |
dc.subject | Network architecture | en_US |
dc.title | Integrated Space Domain Awareness and Communication System | en_US |
dc.type | Conference Object | en_US |
dc.institutionauthor | … | - |
dc.department | İzmir Institute of Technology | en_US |
dc.identifier.volume | 2023-June | en_US |
dc.identifier.scopus | 2-s2.0-85169815466 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1109/VTC2023-Spring57618.2023.10201087 | - |
dc.authorscopusid | 57581395400 | - |
dc.authorscopusid | 15728552000 | - |
dc.authorscopusid | 57219783285 | - |
dc.identifier.scopusquality | - | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.openairetype | Conference Object | - |
item.grantfulltext | none | - |
crisitem.author.dept | 03.05. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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