Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hidayet OĞRAŞ"'
Autor:
Mehmet Rida Tur, Hidayet Ogras
Publikováno v:
IEEE Access, Vol 9, Pp 27323-27332 (2021)
Data communication security between power systems, which has become a chronic problem in the classical network, is characterized by the application of information communication technology (ICT) in modern network models. Nowadays, the electricity netw
Externí odkaz:
https://doaj.org/article/83d6ad41eda4445f805687a808894a64
Autor:
Hidayet Ogras
Publikováno v:
Cogent Engineering, Vol 8, Iss 1 (2021)
In this paper, an efficient chaos-based image encryption scheme for color images is proposed. This paper includes a strong displacement structure through a specified matrix scrambling method for pixel positions and a new hybrid chaotic map as a key g
Externí odkaz:
https://doaj.org/article/3d6c229636c54947954269d422ad88c7
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 10, Iss 2, Pp 203-215 (2022)
Futbol sahalarının aydınlatılması yeni bir uygulama olmamakla birlikte ilerleyen teknoloji sayesinde yeni geliştirmelere ihtiyaç duyulmaktadır. Özellikle nesnelerin interneti kavramı gün geçtikçe hayatımızda daha fazla yer edinirken ay
Externí odkaz:
https://doaj.org/article/bd046c0b24514ab79b1d14a8f00a171a
Publikováno v:
Microprocessors and Microsystems. 99:104829
Autor:
Mehmet Rida Tur, Hidayet Oğraş
Publikováno v:
Volume: 35, Issue: 2 542-556
Gazi University Journal of Science
Gazi University Journal of Science
In this paper, a different approach to create a new chaotic model and an effective image encryption structure using Bit reversal permutation are proposed. Compared to most frequently used and well known chaotic maps, such as Logistic map, Sine map or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be1c7c5a9c88961f5b1786b45771788a
https://dergipark.org.tr/tr/pub/gujs/issue/69194/872818
https://dergipark.org.tr/tr/pub/gujs/issue/69194/872818
Autor:
Mustafa Türk, Hidayet Oğraş
Publikováno v:
Journal of Information Security. :23-41
In this paper, we propose an effective gray image cryptosystem containing Arnold cat map for pixel permutation and an improved Logistic map for the generation of encryption keys to be used for pixel modification. Firstly, a new chaotic map is designe
Autor:
Şehmus Fidan, Hidayet Oğraş
Publikováno v:
Volume: 8, Issue: 3 235-241
Balkan Journal of Electrical and Computer Engineering
Balkan Journal of Electrical and Computer Engineering
Permutation and substitution processes of an image are most widely used in image encryption algorithms as they are thought to increase system security in cryptography. Permutation is the first process that all pixel positions in an image are shuffled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7b11f9e49a48b6f53cb2a50d4f5434a
https://dergipark.org.tr/tr/pub/bajece/issue/56225/667740
https://dergipark.org.tr/tr/pub/bajece/issue/56225/667740
Autor:
Hidayet Oğraş, Mustafa Türk
Publikováno v:
The International Journal of Electrical Engineering & Education. 50:19-33
This paper describes a software package which is designed using MATLAB's Graphical User Interface (GUI) in order to provide a tool to be used for chaos-based digital communication systems. The basic working principle of this software package (Chaos-b
Autor:
Hidayet Oğraş, Mustafa Türk
Publikováno v:
2016 Third International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA).
In this paper, we have designed and proposed a new improved Logistic map (ILM) which enhances the performance of the standard Logistic map (SLM) in terms of higher Lyapunov exponent and steady chaotic behavior. In standard map, the control parameter
Autor:
Mustafa Türk, Hidayet Oğraş
Publikováno v:
Expert Systems with Applications. 38:2557-2565
This paper presents a comparative study of implementation of feature extraction and classification algorithms based on wavelet neural networks (WNN) for chaos-based digital modulation (CBDM) classification. Thirteen different feature extraction metho