Blind Signature Scheme Based On Elliptical CurveCryptography (ECC)
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 2
Abstract
Abstract: Blind signature is a concept to ensure anonymity of e-coins. Untracebility and unlinkability are ttwomain properties of real coins and should also be mimicked electronicaly. A user has fulfill above two propertiesof blind signature for permission to send an e-coins. During the last few years, asymmetric cryptography basedon curve based cryptography have becomes very popular, especially for embedded applications. Ellipticalcurves cryptography (CC) are the special case of elliptical curves (EC). EC operand size is only a fraction of theEC operand Size. EC Cryptography needs a group order of size atleast 2160. In Particular for a cuve of genus twofield Fq with p long operands. Which is much better than the RSA using 1024 bit key length. The elliptic curve isbest suited for the resource constraint environment s. It uses lesser key and provides more secure transmission of data
Authors and Affiliations
Preeti Singh
Smart Car Collision Avoidance System
Abstract: In this paper we demonstrate the potential usage of vehicle to vehicle communication(V2V) to reduce the number of road accidents caused due to over taking of vehicles. The system will operate by transferring da...
Advanced Safe PIN-Entry Against Human Shoulder-Surfing
Abstract: When users insert their passwords in a common area, they might be at risk of aggressor stealingtheir password. The PIN entry can be perceived by close by adversaries, more effectually in a crowded place. Anew t...
Precision Controlled Secrecy Stabilization in Relational Data
Abstract: Data privacy issues are increasingly becoming important for many applications. Protective individual privacy is a crucial downside. However, sensitive data will still be ill-used by approved users to compromise...
Classification of Mammogram Images for Detection of BreastCancer
Abstract: Breast cancer is the most commonly observed cancer in women both in the developing and thedeveloped countries of the world. The survival rate in it has improved over the past few years with thedevelopment...
Classification Human Brain Images and Detection Suspicious Abnormal Area
Abstract: Magnetic Resonance Images (MRI) are widely utilized in the diagnosis of brain images. In this study we have developed a new approach for automatic classification of the normal and abnormal MRI images. Thepropos...