Covert and Quantum-Safe Tunneling of Multi-Band Military-RF Communication Waveforms Through Non-Cooperative 5G Networks

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dc.contributor.authorAlwan, Eliasen
dc.contributor.authorVolakis, Johnen
dc.contributor.authorIslam, Md Khadimulen
dc.contributor.authorDe Silva, Udaraen
dc.contributor.authorMadanayake, Arjunaen
dc.contributor.authorSanchez, Jose Angelen
dc.contributor.authorSklivanitis, Georgeen
dc.contributor.authorPados, Dimitris A.en
dc.contributor.authorBeckwith, Lukeen
dc.contributor.authorAzarderakhsh, Rezaen
dc.contributor.authorMuralkrishan, Madhuvantien
dc.contributor.authorRastogi, Rishabhen
dc.contributor.authorHore, Aniruddhaen
dc.contributor.authorBurger, Eric W.en
dc.date.accessioned2024-07-10T17:09:29Zen
dc.date.available2024-07-10T17:09:29Zen
dc.date.issued2023en
dc.description.abstractWe have built a prototype universal radio adapter which furnishes seamless and secure wireless communication through non-cooperative indigenous 5G networks for military and government users. The adapter consists of a waveform-agnostic hardware add-on that tunnels DoD terrestrial and satellite data. The adapter uses secure protocols for cross-connecting military-grade wireless RF communications equipment using spectrum in the range from UHF to Ka-band. A 5G data transport channel replaces the captured spectrum for transporting information at the IQ-sample level. In a sense, we replace the antenna-air interface and wireless channel with a transparent 5G data network. A plurarity of legacy military systems can operate through modern 5G networks in a seamless way without any knowledge of the characteristics of military waveforms. The adapter incorporates AI/ML based methods for smart spectrum sensing and autonomous radio reconfiguration. This enables intelligent interconnection of a number of military radios through non-cooperative (potentially adversarial) 5G commercial cellular networks. The adapter is built on four technical pillars: 1) ultra-wideband apertures for multi-functional and flexible software-defined radios (SDRs) with agile, wideband, and dual-band tunable RF transceivers for FR1/FR2 bands; 2) physical layer operation that involve device authentication via deep-learning based RF fingerprinting and compression of acquired IQ data; 3) secure and reconfigurable cryptographic co-processors employing the new quantum-safe algorithms selected by NIST to achieve authentication, key exchange, and encryption with focus on resource-constrained low size, weight, power, and cost (SWaP-C) devices; and 4) generative artificial intelligence and spread-spectrum steganography to hide DoD traffic passed through 5G networks and improve resiliency against real-time traffic analysis by nation-state carriers and intelligence agencies.en
dc.description.versionAccepted versionen
dc.format.extent6 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/MILCOM58377.2023.10356300en
dc.identifier.issn2155-7578en
dc.identifier.orcidBurger, Eric [0000-0002-2143-9368]en
dc.identifier.urihttps://hdl.handle.net/10919/120630en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject5Gen
dc.subjectsecurityen
dc.subjectdata hidingen
dc.subjectsteganographyen
dc.subjectPQCen
dc.subjectIQ signal compressionen
dc.subjectAI fingerprintingen
dc.titleCovert and Quantum-Safe Tunneling of Multi-Band Military-RF Communication Waveforms Through Non-Cooperative 5G Networksen
dc.title.serialMILCOM 2023 - 2023 IEEE MILITARY COMMUNICATIONS CONFERENCEen
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherProceedings Paperen
dc.type.otherBook in seriesen
pubs.finish-date2023-11-03en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.start-date2023-10-30en

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