Yazar "Kaya, Muhammed Saadetdin" seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Benchmarking Various 1D Chaotic Maps For Lightweight Pseudo-Random Number Generation(Institute of Electrical and Electronics Engineers Inc., 2024) Kaya, Muhammed Saadetdin; Ince, KenanThis study comparatively analyzes the performance of various one-dimensional (1D) chaotic maps for Internet of Things (IoT) devices and resource-constrained environments using a lightweight Pseudo Random Number Generator (PSRNG). The research aims to determine the most suitable 1D chaotic map for IoT devices and image encryption applications. The study tested and evaluated nine different chaotic maps such as Logistic Map, ID ILM, ID IQM, Tent Map, Sine Map, Gauss Map, Circle Map, Chebyshev Map and Quadratic Map using the NIST-SP800-22R1A statistical test suite. Five out of the nine chaotic maps (1D IQM, 1D ILM, Sine Map, Gauss Map, and Chebyshev Map) successfully passed all the statistical tests. Regarding security, 1D IQM, 1D ILM, and Gauss Map were found to be resistant to both brute-force attacks and quantum attacks. According to the execution time tests, Sine Map has the fastest execution time but does not provide quantum resistance. Among the quantum-resistant maps, Gauss Map showed the quickest performance. It is concluded that Gauss Map can be a good option for applications requiring secure and efficient random number generation, especially for IoT devices and other resource-constrained environments. This study guides IoT developers and cryptography experts to develop random number generation solutions that meet high-security standards in resource-constrained environments. © 2024 IEEE.Öğe Knit scrambling: A novel image scrambling framework and its demonstration in image encryption(Elsevier, 2026) Kaya, Muhammed Saadetdin; Ince, KenanThe exponential growth of visual data and the expansion of resource-constrained IoT platforms have intensified the demand for lightweight yet secure image protection schemes. Conventional ciphers, while cryptographically strong, often fail to meet real-time and hardware-efficiency requirements for image data. To address this gap, this study presents the Knit Scrambling (KS) framework, a textile-inspired deterministic permutation framework designed for reversible image scrambling with linear computational cost. This approach models an image as a sequence interwoven from multiple subsequences following cyclic knitting patterns, ensuring both reversibility and high diffusion. A specific instantiation, termed Triple Check Pattern (TCP), realizes the KS framework by dividing the image into three subsequences and applying cyclic pattern rotations to enhance pixel decorrelation while preserving strict invertibility. The confusion process is integrated with a lightweight diffusion stage based on a key-nonce-derived chaotic keystream generated by a one-dimensional logistic map, eliminating plaintext dependence and enabling per-image uniqueness. Experimental analyses conducted on benchmark color images show near-uniform histograms, high entropy close to eight bits, and strong differential performance, with average NPCR around 99.6 percent and UACI approximately 33.5 percent. Statistical randomness evaluation using the NIST SP 800-22 test suite confirms the scheme's ability to produce unpredictable ciphertexts, while runtime benchmarking on both desktop and embedded-class hardware demonstrates real-time feasibility. The results indicate that the proposed framework provides an effective and hardware-efficient alternative to existing chaos-based and geometric scrambling approaches for lightweight image encryption in IoT environments. The proposed framework (KS) defines a general textile-inspired permutation model, while its implementation through the TCP algorithm demonstrates how this model can be practically realized to achieve efficient and reversible image scrambling.Öğe Nesnelerin interneti uygulamaları için güvenli bir haberleşme gerçekleştirilmesi(İnönü Üniversitesi, 2021) Kaya, Muhammed Saadetdin; İnce, KenanHızla gelişen internet teknolojileri ile birlikte gittikçe yaygınlaşan internet kullanımı ve internete bağlı cihazların çeşitliliği ile birlikte internet kullanımı artık yalnızca bilgisayar, telefon ve tablet gibi cihazlarla sınırlı kalmamaktadır. Akıllı ev aletleri, otonom araçlar ve akıllı şehirler gibi projlerlere hayatın her alanında Nesnelerin İnterneti (IoT) kavramı ile birlikte görmeye başladığımız akıllı ve internete bağlı cihazlar, yalnızca insan-cihaz etkileşimini değil aynı zamanda cihaz-cihaz etkileşimini de başka bir boyuta taşımaktadır. Kullanım alanları gereği uygulamalarıın çoğunda kişisel bilgi alışverişini içeren IoT sistemleri, güvenlik ve gizlilik tehditlerinin hedefi olmaktadır. Bu sistemleri oluşturan elementler masaüstü bilgisayarlar, tabletler gibi güçlü bilgi işlem aygıtlarından RFID etiketleri ve sensörler gibi düşük kaynak kapasitesine sahip aygıtlara kadar değişiklik göstermektedirler. Özellikle bu kısıtlı aygıtlar söz konusu olduğunda, geleneksel şifreleme algoritmaları gerekli güvenlik ve performansı sağlayamamaktadır. Yapılan tez çalışmasında IoT sistemlerinde sıkça kullanılan mimarilerden, haberleşme teknolojilerinden, güvenlik unsurlarından ve potansiyel tehditlerle birlikte literatürde bulunan kriptografik çözümlere dikkat çekilmiş olup sisteme yeni bir IoT nesnesi katılması durumunda yaşanan sorunların çözülmesi adına yeni ve hibrit bir hafif siklet yaklaşım sunulmaktadır. Güvenilirliği herkesçe bilinen bir hafif siklet dizi şifreleme algoritması olan Grain 128a ile kontrollü rassal bekleme yapılarak sistemin doğrusallığının bozulması amaçlanmıştır. Sunulan yaklaşım belirtilen senaryoya uygun şekilde kurulan bir düzenekte uygulanmış olup sonuçları yorumlanmaktadır.Öğe Using Quantum Resistant Variants of NIST IR 8454 Lightweight Encryption Algorithms in Image Encryption(Institute of Electrical and Electronics Engineers Inc., 2024) Kaya, Muhammed Saadetdin; Iince, KenanThis work examines the potential of quantum resistant variants of NIST IR 8454 lightweight encryption algorithms in the field of image encryption. Selected algorithms from ASCON, TinyJAMBU and SPARKLE families were analyzed using various performance metrics. The research includes entropy analysis, correlation analysis, histogram analysis, NPCR and UACI tests, PSNR and SSIM tests, and calculation speed analysis. The results show that all tested algorithms meet the basic security requirements for image encryption. In particular, an increase in entropy of approximately 13 % in encrypted images, significant reduction in pixel correlations, and high sensitivity to small changes in the input image are observed. While ASCON80pq shows the fastest performance, all algorithms provide basic resistance to quantum attacks. This work reveals that quantumresistant lightweight encryption algorithms are promising for image security, especially in resource-constrained environments such as IoT. However, it is emphasized that these algorithms need to be further investigated in different image types, specific attack scenarios and real-world applications. © 2024 IEEE.
