Implementation of Modular Reduction and Modular Multiplication Algorithms
Journal Title: IOSR journal of VLSI and Signal Processing - Year 2018, Vol 8, Issue 6
Abstract
Secure and reliable system has become an important exaction in the modern day offices. With the evolution of office equipment’s from handwritten notes to desktops to digital storage of confidential information regarding business, client and employee information has to be stored in a secure manner. Cryptography, process of making the information classified, switch it to a form that may be non-readable, keeping it safe from unauthorized people uses modular operations in many of its algorithms. Unlike other arithmetic operations the length of the output does not vary in modular operations. The length and the value of the output is within the prime number used in the modular operation also called as modulo. In this paper, three modular reduction algorithms and one modular multiplication algorithm is implemented. The algorithms are implemented in Xilinx 14.2 using Spartan 6 as the device. The results are tabulated in this paper.
Authors and Affiliations
Mishal Jasmine Ferrao1 ,, Mr. Kiran Kumar. V. G2 ,, Mrs. Megha N 3
Analysis of the Performance of Classifiers on Wavelet Features with PCA and GA for the Detection of Breast Cancer in Ultrasound Images
Breast cancer is the most commonly diagnosed life threatening cancer in women worldwide. Breast cancer is the leading cause of cancer death among women. Early detection is of great significance and essential to the treat...
Support Vector Machine Classification of Stress Types in Speech
Speech of human beings is the reflection of the state of mind. Proper evaluation of these speech signals into stress types is necessary in order to ensure that the person is in a healthy state of mind. In this work we pr...
Video Enhancement & Suspicious Object Detection In Low Quality Video Frames
To develop the real world computer vision system, detection of moving objects in video images is very important. The automatic detection of moving objects in video images is very important. The automatic detection of mov...
Analysis and Segmentation of the Bone Cancer MRI Image Based On Neural Networks Approach Model
- The manual segmentation of the Magnetic Resonance Imaging (MRI) bone image presents the following two issues: 1) it is tedious and time demanding task that can be only performed by a specialized clinician; and 2) it is...
Retime Low Power Approximate Multiplier for Image Sharpening and Smoothing`
In DSP systems, due to demand in the higher computational performance in the architecture’s is increasing the complexity. In order to enhance the performance, the approximate arithmetic circuits are designed with small e...