Integrated Space Domain Awareness and Communication System
| dc.contributor.author | Geçgel Çetin, Selen | |
| dc.contributor.author | Özbek, Berna | |
| dc.contributor.author | Karabulut Kurt, Güneş | |
| dc.date.accessioned | 2023-11-11T08:57:57Z | |
| dc.date.available | 2023-11-11T08:57:57Z | |
| dc.date.issued | 2023 | |
| dc.description | 97th IEEE Vehicular Technology Conference, VTC 2023-Spring -- 20 June 2023 through 23 June 2023 | 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.identifier.doi | 10.1109/VTC2023-Spring57618.2023.10201087 | |
| dc.identifier.isbn | 9798350311143 | |
| dc.identifier.issn | 1550-2252 | |
| dc.identifier.scopus | 2-s2.0-85169815466 | |
| dc.identifier.uri | https://doi.org/10.1109/VTC2023-Spring57618.2023.10201087 | |
| dc.identifier.uri | https://hdl.handle.net/11147/14058 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | IEEE Vehicular Technology Conference | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | ISDAC | 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 | Communications systems | en_US |
| dc.title | Integrated Space Domain Awareness and Communication System | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | 0000-0003-4359-7874 | |
| gdc.author.id | 0000-0003-4359-7874 | en_US |
| gdc.author.institutional | Özbek, Berna | |
| gdc.author.scopusid | 57581395400 | |
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| gdc.coar.access | open access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. Electrical and Electronics Engineering | en_US |
| gdc.description.endpage | 5 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1 | |
| gdc.description.volume | 2023-June | en_US |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W4385801257 | |
| gdc.identifier.wos | WOS:001054797202156 | |
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| gdc.oaire.keywords | Computer Science - Networking and Internet Architecture | |
| gdc.oaire.keywords | Networking and Internet Architecture (cs.NI) | |
| gdc.oaire.keywords | FOS: Computer and information sciences | |
| gdc.oaire.keywords | Computer Science - Machine Learning | |
| gdc.oaire.keywords | Computer Science - Cryptography and Security | |
| gdc.oaire.keywords | Cryptography and Security (cs.CR) | |
| gdc.oaire.keywords | Machine Learning (cs.LG) | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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