Sensor-Based Random Number Generator Seeding

Random number generators (RNGs) are the foundation of strong security and privacy measures. With an increasing number of smart devices being connected to the Internet, the demand for secure communication will only increase. An important outgrowth of Internet-connected devices is the embedding of sen...

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Main Authors: Siang Lee Hong, Chang Liu
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Access
Online Access:https://ieeexplore.ieee.org/document/7109113/
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author Siang Lee Hong
Chang Liu
author_facet Siang Lee Hong
Chang Liu
author_sort Siang Lee Hong
collection DOAJ
description Random number generators (RNGs) are the foundation of strong security and privacy measures. With an increasing number of smart devices being connected to the Internet, the demand for secure communication will only increase. An important outgrowth of Internet-connected devices is the embedding of sensors. Yet, there remains a paucity of good protocols to provide sensor-based secure RNG seeds. In their raw form, sensor data are a weak source of RNG seeds for two reasons: 1) adversarial control - a malicious party gaining control of the sensor and generating a known data sequence and 2) collinearity across sensors - inherent correlated sequences generated because sensors are embedded in the same device. We propose a new seeding technique that leverages sensor data to provide secure seeds for RNG. Given the current proliferation of sensors and Internet-connectivity on smart devices, this technique could increase cybersecurity in a variety of domains, without additional cost.
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spelling doaj.art-76a000e66f0f471da692e0ded9acea7e2022-12-21T22:22:52ZengIEEEIEEE Access2169-35362015-01-01356256810.1109/ACCESS.2015.24321407109113Sensor-Based Random Number Generator SeedingSiang Lee Hong0Chang Liu1Department of Biomedical Sciences, Ohio University, Athens, OH, USASchool of Electrical Engineering and Computer Science, Ohio University, Athens, OH, USARandom number generators (RNGs) are the foundation of strong security and privacy measures. With an increasing number of smart devices being connected to the Internet, the demand for secure communication will only increase. An important outgrowth of Internet-connected devices is the embedding of sensors. Yet, there remains a paucity of good protocols to provide sensor-based secure RNG seeds. In their raw form, sensor data are a weak source of RNG seeds for two reasons: 1) adversarial control - a malicious party gaining control of the sensor and generating a known data sequence and 2) collinearity across sensors - inherent correlated sequences generated because sensors are embedded in the same device. We propose a new seeding technique that leverages sensor data to provide secure seeds for RNG. Given the current proliferation of sensors and Internet-connectivity on smart devices, this technique could increase cybersecurity in a variety of domains, without additional cost.https://ieeexplore.ieee.org/document/7109113/
spellingShingle Siang Lee Hong
Chang Liu
Sensor-Based Random Number Generator Seeding
IEEE Access
title Sensor-Based Random Number Generator Seeding
title_full Sensor-Based Random Number Generator Seeding
title_fullStr Sensor-Based Random Number Generator Seeding
title_full_unstemmed Sensor-Based Random Number Generator Seeding
title_short Sensor-Based Random Number Generator Seeding
title_sort sensor based random number generator seeding
url https://ieeexplore.ieee.org/document/7109113/
work_keys_str_mv AT siangleehong sensorbasedrandomnumbergeneratorseeding
AT changliu sensorbasedrandomnumbergeneratorseeding