Title
On-line Entropy Estimation for Secure Information Reconciliation.
Abstract
The random number generator (RNG) is a critical, if not in fact the most important, component in every cryptographic device. Introducing the symmetric radio channel, represented by estimations of location-specific, reciprocal, and time- variant channel characteristics, as a common RNG is not a trivial task. In recent years, several practice-oriented protocols have been proposed, challenging the utilization of wireless communication channels to enable the computation of a shared key. However, the security claims of those protocols typically rely on channel abstractions that are not fully experimentally substantiated, and (at best) rely on statistical off-line tests. In the present paper, we investigate on-line statistical testing for channel-based key extraction schemes, which is independent from channel abstractions due to the capability to verify the entropy of the resulting key material. We demonstrate an important security breach if on-line estimation is not applied, e.g., if the device is in an environment with an insufficient amount of entropy. Further, we present real-world evaluation results of 10 recent protocols for the generation of keys with a verified security level of 128-bit.
Year
DOI
Venue
2015
10.4108/eai.22-7-2015.2260196
MobiQuitous
Field
DocType
Citations 
Entropy estimation,Reciprocal,Wireless,Security level,Computer science,Cryptography,Communication channel,Statistical hypothesis testing,Computation,Distributed computing
Conference
4
PageRank 
References 
Authors
0.39
13
4
Name
Order
Citations
PageRank
Christian T. Zenger1415.11
Jan Zimmer271.12
Jan-Felix Posielek3301.99
Christof Paar43794442.62