DocumentCode
2201526
Title
Perfect omniscience, perfect secrecy and Steiner tree packing
Author
Nitinawarat, S. ; Narayan, P.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
fYear
2010
fDate
Jan. 31 2010-Feb. 5 2010
Firstpage
1
Lastpage
5
Abstract
We consider perfect secret key generation for a ¿pairwise independent network¿ model in which every pair of terminals share a random binary string, with the strings shared by distinct terminal pairs being mutually independent. The terminals are then allowed to communicate interactively over a public noiseless channel of unlimited capacity. All the terminals as well as an eavesdropper observe this communication. The objective is to generate a perfect secret key shared by a given set of terminals at the largest rate possible, and concealed from the eavesdropper. First, we show how the notion of perfect omniscience plays a central role in characterizing perfect secret key capacity. Second, a multigraph representation of the underlying secrecy model leads us to an efficient algorithm for perfect secret key generation based on maximal Steiner tree packing. This algorithm attains capacity when all the terminals seek to share a key, and, in general, attains at least half the capacity. Third, when a single ¿helper¿ terminal assists the remaining ¿user¿ terminals in generating a perfect secret key, we give necessary and sufficient conditions for the optimality of the algorithm; also, a ¿weak¿ helper is shown to be sufficient for optimality.
Keywords
cryptography; information theory; Steiner tree packing; multigraph representation; pairwise independent network; public noiseless channel; random binary string; secret key generation; unlimited capacity; Channel capacity; Communication standards; Context; Educational institutions; Information theory; Network coding; Signal generators; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Applications Workshop (ITA), 2010
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-7012-9
Electronic_ISBN
978-1-4244-7014-3
Type
conf
DOI
10.1109/ITA.2010.5454101
Filename
5454101
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