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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2015-01-01
|
Series: | IEEE Access |
Online Access: | https://ieeexplore.ieee.org/document/7109113/ |
_version_ | 1818619176126775296 |
---|---|
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. |
first_indexed | 2024-12-16T17:33:19Z |
format | Article |
id | doaj.art-76a000e66f0f471da692e0ded9acea7e |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-16T17:33:19Z |
publishDate | 2015-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
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 |