Implementation of Caesar Cipher and Chaotic Neural network by using MATLAB Simulator
نویسندگان
چکیده
Today as every information is in form of electronic data. The security of data is increased due frequent attacks by outsiders. So, there is a need to secure this information by using cryptography. Cryptography is a technique to make information unreadable for unauthorized users. Various algorithms are used for cryptography to convert original information. In this paper we are going to implement encryption and decryption using Caesar cipher and a brief case study of chaotic neural network. Keywords-CNN, Symmetric key, Asymmetric key, Hashes, ANN, Nervous, Decipher
منابع مشابه
The efficiency of Artificial Neural Network, Neuro-Fuzzy and Multivariate Regression models for runoff and erosion simulation using rainfall simulator
1- INTRODUCTION According to the complexity of environmental factors related to erosion and runoff, correct simulation of these variables find importance under rain intensity domain of watershed areas. Although modeling of erosion and runoff by Artificial Neural Network and Neuro-Fuzzy based on rainfall-runoff and discharge-sediment models were widely applied by researchers, scrutinizing Arti...
متن کاملA Stream Cipher Based on Chaotic Permutations
In this paper we introduce a word-based stream cipher consisting of a chaotic part operating as a chaotic permutation and a linear part, both of which designed on a finite field. We will show that this system can operate in both synchronized and self-synchronized modes. More specifically, we show that in the self-synchronized mode the stream cipher has a receiver operating as an unknown input o...
متن کاملCPA on COLM Authenticated Cipher and the Protection Using Domain-Oriented Masking
Authenticated encryption schemes are important cryptographic primitives that received extensive attention recently. They can provide both confidentiality and authenticity services, simultaneously. Correlation power analysis (CPA) can be a thread for authenticated ciphers, similar to the any physical implementation of any other cryptographic scheme. In this paper, a three-step CPA attack against...
متن کاملAN IMPROVED CONTROLLED CHAOTIC NEURAL NETWORK FOR PATTERN RECOGNITION
A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...
متن کاملبهبود بازشناسی مقاوم الگو در شبکه های عصبی بازگشتی جاذب از طریق به کارگیری دینامیک های آشوب گونه
In this paper, two kinds of chaotic neural networks are proposed to evaluate the efficiency of chaotic dynamics in robust pattern recognition. The First model is designed based on natural selection theory. In this model, attractor recurrent neural network, intelligently, guides the evaluation of chaotic nodes in order to obtain the best solution. In the second model, a different structure of ch...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014