Volume 94, Number 2, April 2011
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||14 April 2011|
Effective privacy amplification for secure classical communications
Department of Computer Science, University of Bonn - Bonn, Germany, EU
2 Fraunhofer IAIS, Schloss Birlinghoven - D-53754 Sankt Augustin, Germany, EU
3 Department of Electrical and Computer Engineering, Texas A&M University - College Station, TX 77843-3128, USA
4 School of Electrical Engineering, Tel-Aviv University - Ramat-Aviv, Israel
5 Center for Nanoscience and Nanotechnology, Tel-Aviv University - Ramat-Aviv, Israel
Accepted: 15 March 2011
We study the practical effectiveness of privacy amplification for classical key distribution schemes. We find that in contrast to quantum key distribution schemes, the high fidelity of the raw key generated in classical systems allow the users to always sift a secure shorter key if they have an upper bound on the eavesdropper probability to correctly guess the exchanged key bits. The number of privacy amplification iterations needed to achieve information leak of 10−8 in existing classical communicators is 2 or 3 resulting in a corresponding slowdown 4 to 8. We analyze the inherent tradeoff between the number of iterations and the security of the raw key. This property which is unique to classical key distribution systems render them highly useful for practical, especially for noisy channels where sufficiently low quantum bit error ratios are difficult to achieve.
PACS: 89.90.+n – Other topics in areas of applied and interdisciplinary physics (restricted to new topics in section 89) / 89.20.Ff – Computer science and technology
© EPLA, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.