Self-generated encryption model of acoustics

dc.contributor.authorEtem, Taha
dc.contributor.authorKaya, Turgay
dc.date.accessioned2021-04-10T16:37:08Z
dc.date.available2021-04-10T16:37:08Z
dc.date.issued2020
dc.departmentMAUNen_US
dc.descriptionetem, taha/0000-0003-1419-5008en_US
dc.description.abstractTrue Random Number Generator is a popular research area as a result of its encryption usage. Encrypting any data with a random source ensures security of information. The aim of this paper is to develop a self-generated True Random Number for audio encryption. To this end, an audio encryption system was created. Digital audio data is converted into binary form. XOR operation is performed to design Random Number Generator. NIST 800-22 Test Suite and TestU01 are applied on bit stream. Original data and encryption key are evaluated in case of randomness. Encryption of audio is made by generated bits. This paper proves that, a self-generated audio encryption system can be implemented. Statistical analyses and data distributions shows that encryption process with self-generation is successful. In this work, an audio encryption model of self-generated True Random Number is proposed. (C) 2020 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.apacoust.2020.107481
dc.identifier.issn0003-682X
dc.identifier.issn1872-910X
dc.identifier.scopus2-s2.0-85087425737
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.apacoust.2020.107481
dc.identifier.urihttps://hdl.handle.net/20.500.12639/2151
dc.identifier.volume170en_US
dc.identifier.wosWOS:000565374000005
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofApplied Acousticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTrue Random Number Generatoren_US
dc.subjectAudio Encryptionen_US
dc.subjectInformation Securityen_US
dc.titleSelf-generated encryption model of acousticsen_US
dc.typeArticle

Dosyalar