Volume 127, Number 6, September 2019
|Number of page(s)||7|
|Published online||05 November 2019|
Embedding information in physically generated random bit sequences while maintaining certified randomness
1 Department of Physics, Bar-Ilan University - Ramat-Gan 52900, Israel
2 Gonda Interdisciplinary Brain Research Center, and the Goodman Faculty of Life Sciences, Bar-Ilan University Ramat-Gan 52900, Israel
3 Department of Physics, The Jack and Pearl Resnick Institute for Advanced Technology, Bar-Ilan University Ramat-Gan, 52900 Israel
4 Department of Applied Mathematics, Jerusalem College of Technology (JCT) - Jerusalem, Israel
Received: 28 August 2019
Accepted: 17 October 2019
Ultrafast physical random bit generation at hundreds of Gb/s rates, with verified randomness, is a crucial ingredient in secure communication and has recently emerged using optics-based physical systems. Here we examine the inverse problem and measure the ratio of information bits that can be systematically embedded in a random bit sequence without degrading its certified randomness. These ratios exceed 0.01 in experimentally obtained long random bit sequences. Based on these findings we propose a high-capacity private-key cryptosystem with a finite key length, where the existence as well as the content of the communication is concealed in the random sequence. Our results call for a rethinking of the current quantitative definition of practical classical randomness as well as the measure of randomness generated by quantum methods, which have to include bounds using the proposed inverse information embedding method.
PACS: 05.45.-a – Nonlinear dynamics and chaos / 89.70.-a – Information and communication theory / 07.05.Kf – Data analysis: algorithms and implementation; data management
© EPLA, 2019
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.