On the Effectiveness of Electric Network Frequency (ENF) as a Source of Randomness

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On the Effectiveness of Electric Network Frequency (ENF) as a Source of Randomness
Title:
On the Effectiveness of Electric Network Frequency (ENF) as a Source of Randomness
Journal Title:
OA Status:
closed
Publication Date:
07 May 2021
Citation:
2019 IEEE 44th Conference on Local Computer Networks (LCN)
Abstract:
Random bit generator (RBG) is one of the most crucial part of cryptographic applications. In many systems, due to unavailability of true randomness source(s), deterministic/pseudo-random bit generators (DRBG) are used to generate pseudo-random bit-strings. However, recent studies have shown that, if the seed used to initialise DRBGs is obtained from a source producing low entropy bits, it can lead to serious security incidents. Hence, identifying reliable and pervasive source of (true) randomness has been an active area of research. In this work, we investigate the suitability of a ubiquitous source of randomness produced in a power grid’s electric network, called Electric Network Frequency (ENF), for building a noise source for RBGs. ENF fluctuates around its mean value due to unpredictable power grid system loads. We build a low cost ENF recording device, and conduct extensive analysis of the captured dataset. Our results show that ENF exhibits good randomness properties and can be employed to build noise source for RBGs.
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Funding Info:
There is no specific funding for this work.
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© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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