Abstract
In the multiterminal secret key agreement problem, a set of users want to discuss with each other until they share a common secret key independent of their discussion. We want to characterize the maximum secret key rate, called the secrecy capacity, asymptotically when the total discussion rate goes to zero. In the case of only two users, the capacity is equal to the Gács-Körner common information. However, when there are more than two users, the capacity is unknown. It is plausible that a multivariate extension of the Gács-Kömer common information is the capacity, however, proving the converse is challenging. We resolved this for the hypergraphical sources and finite linear sources, and provide efficiently computable characterizations. We also give some ideas of extending the techniques to more general source models.
Original language | English |
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Title of host publication | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2654-2658 |
Number of pages | 5 |
ISBN (Print) | 9781538647806 |
DOIs | |
State | Published - 15 Aug 2018 |
Externally published | Yes |
Event | 2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States Duration: 17 Jun 2018 → 22 Jun 2018 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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Volume | 2018-June |
ISSN (Print) | 2157-8095 |
Conference
Conference | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
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Country/Territory | United States |
City | Vail |
Period | 17/06/18 → 22/06/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
C. Chan (corresponding author, email: [email protected]) is with the Department of Computer Science, City University of Hong Kong. His work was supported in part by a grant from the University Grants Committee of the Hong Kong Special Administrative Region, China (Project No. 14200714) and in part by a grant from City University of Hong Kong (Project No. 7200564). His work was supported in part by a grant from the University Grants Committee of the Hong Kong Special Administrative Region, China (Project No. 14200714) and in part by a grant from City University of Hong Kong (Project No. 7200564). N. Kashyap ([email protected]) is with the Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore 560012. His work was supported in part by a Swarnajayanti Fellowship awarded by the Department of Science & Technology, Government of India.
Funders | Funder number |
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University Grants Committee of the Hong Kong Special Administrative Region, China | 14200714 |
City University of Hong Kong | 7200564 |
University Grants Committee | |
Department of Science and Technology, Government of West Bengal |