AES S-Box Construction using One Dimensional Cellular Automata Rules

نویسنده

  • Chenna Kesava Reddy
چکیده

S-Box is the only non-linear component in Advanced Encryption Standard(AES) which determine its strength. The Look-Up Table based S-Box of conventional AES occupies large storage space, reduced throughput and consumes more power. This article presents the design of an S-Box based on Reversible Cellular Automata function that reduces the implementation cost. Further, Cellular Automata functions are derived from various rules that are non-linear and S-Box properties are discussed briefly in this paper. With this approach, the time consumption for the AES S-Box is considerably decreased without compromising the non-linearity of conventional S-Box.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A RCA Approach to Design Cryptographic Algorithm

The paper presents a Reversible cellular automata based one dimensional cryptographic algorithm. This algorithm use specially selected reversible rules which are cryptographically secure and faster to compute. The strength and quality of the algorithm depends upon the rules used and the randomness of number used in the process of encryption and decryption. This algorithm also implements CA base...

متن کامل

Encryption and Decryption algorithm using two dimensional cellular automata rules in Cryptography

In this paper we present a new encryption and decryption algorithm for block cipher based on the linear (periodic boundary-PB) and nonlinear cellular automata rules. First we apply non linear CA rules (complements) to both plain text and key. Then PB CA rule is applied to the above results separately followed by the XOR operation of above results. After that the result of XOR operation is fed t...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

A Fast Cryptosystem Using Reversible Cellular Automata

This article defines a new algorithm for a secret key cryptosystem using cellular automata which is a promising approach to cryptography. Our algorithm is based on cellular automata built on a set of reversible rules which have the ability to construct unpredictable secret keys using MARGOLUS neighborhood. To prove the feasibility of the algorithm, we present some tests of encryption, decryptio...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015