Self-generated encryption model of acoustics

Etem, Taha

doi:10.1016/j.apacoust.2020.107481

Cited by 13 publications

(5 citation statements)

References 22 publications

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“…Histogram analysis graph of the stone imageThe histogram contains valuable statistical data on the image and also finds relevance in other applications like image compression and segmentation. Images that are encrypted should have a consistently balanced histogram as stated in literatures[8,9]. Figures3 and 4, we display sample images in their original, encrypted, and decrypted formats.…”

mentioning

confidence: 87%

“…The author proposed a scheme, which is generating 256 bits keys based on human voice or speech data and demonstrated that the proposed scheme passed 13 NIST tests [8]. In literature [9], a random bit sequence generated by using acoustic data as the entropy source. Audio encryption was performed with a sequence generated.…”

Section: Introductionmentioning

confidence: 99%

“…Second, they are sensitive to environmental factors such as noise levels and acoustic reflections from the environment, which can affect the quality of the random numbers generated. Third, they have relatively low entropy rates, which means they may not be suitable for applications that require high-quality random numbers [2,9]. Particularly low entropy rates are seen in single sound source recordings.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Acoustic Entropy Source for Random Sequence Generation Using an Improved Grey Wolf Algorithm

Avaroğlu,

Kahveci,

Akkurt

2024

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The functionality of cryptographic systems necessitates unpredictable, high-quality random numbers. High-quality random numbers must possess unpredictability, non-reproducibility, and strong statistical properties. To achieve these qualities, True Random Number Generators (TRNG) are employed. The randomness quality of TRNG-derived sources depends on the entropy source used. Physical noise sources, ring oscillators, metastable, acoustic sources, and chaotic attractors are commonly used as entropy sources. In recent years, the use of acoustic signals as entropy sources has attracted attention. However, the noise in the signals affects the bit sequence to be generated. In addition, the threshold and sampling interval applied to the frequency values obtained from the signals also determine the quality of the bit sequence to be produced. Choosing the most appropriate values for the entropy source, randomness and unpredictability of these values are important for the bit sequence to have good statistical properties and to be used in strong cryptographic applications. In this paper, a swarm intelligence-based approach is proposed to determine the optimal threshold and sampling interval by exploiting the power of randomness and unpredictability such as random initialization of swarm intelligence algorithms and obtaining different optimal solutions in each run. In the proposed approach, a bit sequence is generated by applying the values determined by the Improved Grey Wolf Optimization algorithm on the data taken from the MUSDB18 dataset as an entropy source. The generated bit sequences have been shown to be usable as initial value, seed value or additional input for cryptographic key and random number generators by obtaining a p-value greater than 0.01 from the National Institute of Standards and Technology (NIST) test, statistical complexity test (SCM) and autocorrelation test with results close to 0 by obtaining 0.013, 0.074 respectively. Furthermore, to show that the obtained bit sequences can be used as cryptographic keys in the encryption system, we perform encryption on two different images and present histogram and differential attack (UACI, NPCR) test results.

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mentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Acoustic Entropy Source for Random Sequence Generation Using an Improved Grey Wolf Algorithm

Avaroğlu,

Kahveci,

Akkurt

2024

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“…Information encryption is to use mathematical or physical means to protect electronic information in the process of transmission and storage for preventing leakage. Essentially, encryption is the conversion of data through cipher arithmetic, which makes that no one can understand a message without the correct key [6][7][8][9][10]. Information security is usually achieved by information encryption technology.…”

Section: Introductionmentioning

confidence: 99%

Generating Chaotic Series via Encryption Method in Fractional-Order Chua Systems

Gong

Zhang

Wan

2021

Discrete Dynamics in Nature and Society

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Fractional-order Chua systems have drawn wide attention in view of rich dynamic characteristics, e.g., chaos and hyperchaos. How to generate chaotic series via encryption method in fractional-order Chua systems is a difficult point all the while. In this paper, we derive several encryption methods in fractional-order Chua systems to generate chaotic series. As one of the most direct application, image encryption is also discussed by the presented methods.

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“…İstenilen tasarım türüne göre tercih yapılması ve rastgele sayı üreteci türünün seçilmesi gerekir. [25][26][27][28][29].…”

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Trivium Algoritması Kaynaklı Rastgele Permutasyon Üretimiyle Görüntü Şifreleme Uygulaması

Etem

2022

Fırat Üniversitesi Mühendislik Bilimleri Dergisi

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Görüntü şifreleme sistemlerinin popülerliği gün geçtikçe katlanarak artmaktadır. Farklı algoritmalar ve farklı sistemler yardımıyla farklı farklı şifreleme sistemleri tasarlansa da literatürdeki ihtiyacın doldurulması mümkün olmamıştır. Hem görüntü üzerinden yapılan haberleşme işlemlerinin yaygınlaşması hem de görüntü iletiminde ihtiyaç duyulan mahremiyet ihtiyacının diğer veri türlerine göre daha yüksek olması sebebiyle yeni sistemlerin geliştirilmesi önem arz etmektedir. Yapılan bu çalışmada Trivium algoritması yardımıyla üretilen rastgele sayı dizileri öncelikle permutasyon oluşturularak piksel karıştırma işlemlerinde kullanılmıştır. Ayrıca üretilen bitler şifreleme işleminde kullanılmak için anahtar üretiminde kullanılmıştır. Üretilen bitlerin rastgelelik koşullarını sağlayıp sağlamadığı NIST testleri yardımıyla başarılı olarak sonuçlandırıldıktan sonra tasarlanan sistemin güvenlik analizleri farklı teknikler yardımıyla gerçekleştirilmiştir. Histogram analizi sonuçlarına göre sadece piksel karıştırma işlemiyle kriptolojik işlem yapan sistemlerin güvenlik açıkları gösterilmiştir. Tüm sistemin uygulanması durumunda başarılı bir görüntü şifreleme işleminin gerçekleştirilebileceği tespit edilmiştir.

show abstract

Self-generated encryption model of acoustics

Cited by 13 publications

References 22 publications

Optimization of Acoustic Entropy Source for Random Sequence Generation Using an Improved Grey Wolf Algorithm

Optimization of Acoustic Entropy Source for Random Sequence Generation Using an Improved Grey Wolf Algorithm

Generating Chaotic Series via Encryption Method in Fractional-Order Chua Systems

Trivium Algoritması Kaynaklı Rastgele Permutasyon Üretimiyle Görüntü Şifreleme Uygulaması

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