A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling
نویسندگان
چکیده
منابع مشابه
Fisher-Yates Chaotic Shuffling Based Image Encryption
In Present era, information security is of utmost concern and encryption is one of the alternatives to ensure security. Chaos based cryptography has brought a secure and efficient way to meet the challenges of secure multimedia transmission over the networks. In this paper, we have proposed a secure Grayscale image encryption methodology in wavelet domain. The proposed algorithm performs shuffl...
متن کاملA Novel Image Encryption Model Based on Hybridization of Genetic Algorithm, Chaos Theory and Lattice Map
Encryption is an important issue in information security which is usually provided using a reversible mathematical model. Digital image as a most frequently used digital product needs special encryption algorithms. This paper presents a new encryption algorithm high security for digital gray images using genetic algorithm and Lattice Map function. At the first the initial value of Logistic Map ...
متن کاملA Color Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System
In this paper, a new color image encryption algorithm based on a fractional-order hyperchaotic system is proposed. Firstly, four chaotic sequences are generated by a fractional-order hyperchaotic system. The parameters of such a system, together with the initial value, are regarded as the secret keys and the plain image is encrypted by performing the XOR and shuffling operations simultaneously....
متن کاملNovel Architecture for Data – Shuffling Using Fisher Yates Shuffle Algorithm
Securing information from obtrudes is the miscellaneous process in communication, cryptography is an effective manner of securing the information. New architecture is designed in this paper based on Fisher Yates Shuffle algorithm to maintain secrecy of data. A newly modified magic rectangle (NMMR) is constructed based few constrains, like sum of row and column values are equal. The numerical va...
متن کاملIdentification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm
In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed fractional order dynamic neural network (FODNN) optimized with evolutionary computation. In the proposed method, some parameters of FODNN are unknown during the process of i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2020
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0236015