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Scalable Security in Interference Channels with Arbitrary Number of Users
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering. KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS. KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.ORCID iD: 0000-0002-3267-5374
2020 (English)In: Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 402-406Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an achievable security scheme for an interference channel with arbitrary number of users. In this model, each receiver should be able to decode its intended message while it should remain ignorant regarding messages intended for other receivers. Our scheme relies ontransmitters to collectively ensure the confidentiality of the transmitted messages using a cooperative jamming technique and lattice alignment. The Asymmetric compute-and-forward framework is used to perform the decoding operation. The proposed scheme is the first asymptotically optimal achievable scheme for this security scenario which scales to arbitrary number of users and works for any finite-valued SNR. Also, our scheme achieves the upper bound sum secure degrees of freedom of 1 without using external helpers and thus the achievable rates lie within constant gap from sum secure capacity.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. p. 402-406
Keywords [en]
Decoding, Degrees of freedom (mechanics), Signal to noise ratio, Arbitrary number, Asymptotically optimal, Compute and forwards, Cooperative jamming, Interference channels, Scalable securities, Security scheme, Upper Bound, Signal interference
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-301062ISI: 000714960300082Scopus ID: 2-s2.0-85102627102OAI: oai:DiVA.org:kth-301062DiVA, id: diva2:1597739
Conference
16th International Symposium on Information Theory and its Applications, ISITA 2020, 24 October 2020 through 27 October 2020
Note

QC 20210927

Available from: 2021-09-27 Created: 2021-09-27 Last updated: 2023-04-05Bibliographically approved

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Papadimitratos, Panagiotis

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf