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
gdc.author.scopusid 15728552000
gdc.author.scopusid 57219783285
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
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
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.635068E-9
gdc.oaire.isgreen true
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)
gdc.oaire.popularity 2.588463E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
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gdc.opencitations.count 0
gdc.plumx.mendeley 4
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gdc.scopus.citedcount 2
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