threshold multisignature source code

Threshold Multi signature Scheme Project:
The main aim of this abstract is presenting secure and efficient way of Threshold multi signature scheme. The fundamental properties are defined in this scheme consist the all properties of the multi signature and thresh hold group signatures.

Existing System:

For the generation of digital signature more shareholders are required. The shareholders must contribute equally to produce valid digital signatures.The scheme consist the all properties of the multi signat ....etc

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source code of mobile sink based energy efficient clustering algorithm in matlab

Abstract

Energy hole problem is a critical issue for data gathering in wireless sensor networks. Sensors near the static sink act as relays for far sensors and thus will deplete their energy very quickly, resulting energy holes in the sensor field. Exploiting the mobility of a sink has been widely accepted as an efficient way to alleviate this problem. However, determining an optimal moving trajectory for a mobile sink is a non-deterministic polynomial-time hard ....etc

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matlab code energy based spectrum sensing in cognitive radio energy threshold based algorithm

ABSTRACT

Spectrum sensing is the basic and essential mechanisms of Cognitive Radio (CR) to find the unused spectrum. This paper presents an overview of CR architecture, discusses the characteristics and benefits of a CR. Energy detection based spectrum sensing has been proposed and used widely because it doesn't require transmitted signal properties, channel information, or even the type of modulation. In this paper, a survey of energy detector over ....etc

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A Fully Distributed Proactively Secure Threshold-Multisignature Scheme



INTRODUCTION
IN distributed systems it is sometimes necessary for users
to share the power to use a cryptosystem , . The
system secret is divided up into shares and securely stored
by the entities forming the distributed cryptosystem. The
main advantage of a distributed cryptosystem is that the
secret is never computed, reconstructed, or stored in a
single location, making the secret more difficu ....etc

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k medoids clustering algorithm java source code

ABSTRACT:

Clustering is the process of classifying objects into different groups by partitioning sets of data into a series of subsets called clusters. Clustering has taken its roots from algorithms like k-medoids and k-medoids. However conventional k-medoids clustering algorithm suffers from many limitations. Firstly, it needs to have prior knowledge about the number of cluster parameter k. Secondly, it also initially needs to make random selection of k representative objects and if these ini ....etc

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To get full information or details of fuzzy c means clustering algorithm please have a look on the pages

http://seminarsprojects.net/Thread-fuzzy-c-means-clustering-based-digital-camouflage-pattern-design

if you again feel trouble on fuzzy c means clustering algorithm please reply in that page and ask specific fields in fuzzy c means clustering algorithm ....etc

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I need a mat lab code corresponding the spectrum access channel from primary user to secondary user to demonstrate that code to UG students please send the code for that ....etc

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developing an algorithm for data mining using clustering genetic algorithm at c++

With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and impr ....etc

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quality threshold clustering algorithm implementation source code

Abstract

Quality Threshold Clustering (QTC) is an algorithm for partitioning data, in fields such as biology, where clustering of large data-sets can aid scientific discovery. Unlike other clustering algorithms, QTC does not require knowing the number of clusters a priori, however, its perceived need for high computing power often makes it an unattractive choice. This paper presents a thorough study of QTC. We analyze the worst case complexity of the algorithm and discuss metho ....etc

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/**
* %SVN.HEADER%
*/
package net.sf.javaml.clustering;

import java.util.Random;

import net.sf.javaml.core.Dataset;
import net.sf.javaml.core.DefaultDataset;
import net.sf.javaml.core.Instance;
import net.sf.javaml.distance.DistanceMeasure;
import net.sf.javaml.distance.EuclideanDistance;
import net.sf.javaml.tools.DatasetTools;

/**
* Implementation of the K-medoids algorithm. K-medoids is a clustering
* algorithm that is very much like k-means. The main difference between the two
* algorithms is the cluster center they use. K-means use ....etc

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