True Random Number Generation from Bioelectrical and Physical Signals
المؤلفون المشاركون
Arslan Tuncer, Seda
Kaya, Turgay
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-02
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
It is possible to generate personally identifiable random numbers to be used in some particular applications, such as authentication and key generation.
This study presents the true random number generation from bioelectrical signals like EEG, EMG, and EOG and physical signals, such as blood volume pulse, GSR (Galvanic Skin Response), and respiration.
The signals used in the random number generation were taken from BNCIHORIZON2020 databases.
Random number generation was performed from fifteen different signals (four from EEG, EMG, and EOG and one from respiration, GSR, and blood volume pulse datasets).
For this purpose, each signal was first normalized and then sampled.
The sampling was achieved by using a nonperiodic and chaotic logistic map.
Then, XOR postprocessing was applied to improve the statistical properties of the sampled numbers.
NIST SP 800-22 was used to observe the statistical properties of the numbers obtained, the scale index was used to determine the degree of nonperiodicity, and the autocorrelation tests were used to monitor the 0-1 variation of numbers.
The numbers produced from bioelectrical and physical signals were successful in all tests.
As a result, it has been shown that it is possible to generate personally identifiable real random numbers from both bioelectrical and physical signals.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Arslan Tuncer, Seda& Kaya, Turgay. 2018. True Random Number Generation from Bioelectrical and Physical Signals. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131939
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Arslan Tuncer, Seda& Kaya, Turgay. True Random Number Generation from Bioelectrical and Physical Signals. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1131939
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Arslan Tuncer, Seda& Kaya, Turgay. True Random Number Generation from Bioelectrical and Physical Signals. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131939
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1131939
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر