elections‚ Secure multiparty‚ Communication‚ Digital Cash. Unit III: Crypto Graphic Algorithms (Block Cipher): RC2‚ GOST‚ CAST‚ BLOW FISH‚ SAFEER‚ RC5‚ NEWDES‚ CRAB‚ Theory of Block Cipher design. Unit IV: Key Management: Key lengths‚ Generating Keys‚ Transferring‚ Verification‚ Updating‚ Storing‚ Backup‚ Compromised‚ Lifetime of‚ Destroying Keys‚ Public key Management. Unit V: Digital Signature Algorithms: Digital Signature‚ DSA‚ DSA variants‚ Gost‚ Discrete Lagorithm‚ One – Schnorr
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Data Structures and Algorithms DSA Annotated Reference with Examples Granville Barne Luca Del Tongo Data Structures and Algorithms: Annotated Reference with Examples First Edition Copyright c Granville Barnett‚ and Luca Del Tongo 2008. This book is made exclusively available from DotNetSlackers (http://dotnetslackers.com/) the place for .NET articles‚ and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is‚ and what
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1. AIM: To write a C program to simulate the shortest job first algorithm with preemption. DESCRIPTION: For implementing SJF algorithm with preemption‚ we consider the arrival times of each process‚ the burst times of all the previously arrived processes. After the arrival of all the processes into the ready queue‚ the average waiting time and turn around time can be calculated by using the above algorithm. ALGORITHM: 1) start 2) read the no of processes to n 3) initialize i to 0 4) if
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is one of the types of hierarchical method of clustering‚ the divisive analysis is used to separate single clusters from the group of clustered datasets. In this paper‚ we proposed the new algorithm DFP to mine the most frequently accessed webpage from web log files. into a single cluster. The DFP algorithm is used to mine the most frequent clustered datasets. 2.HIERARCHICAL CLUSTERING Hierarchical clustering is a process of cluster analysis which seeks to assemble a hierarchy of clusters
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INDIAn INSTITUTE OF managEMENt KOZHIKODE | Vector Evaluated Genetic Algorithm | | Abhishek Rehan(16/301)Ankit Garg(16/308)Sanchit Garg(16/339)Sidharth Jain(16/347)12/28/2012 | ABSTRACT Many real world problems involve two types of problem difficulty: i) multiple‚ conflicting objectives and ii) a highly complex search space.On the one hand‚ instead of a single optimal solution competing goals give rise to a set of compromise solutions‚ generally denoted as Pareto-optimal. In the absence
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DATA MINING REPORT A Comparison of K-means and DBSCAN Algorithm Data Mining with Iris Data Set Using K-Means Cluster method within Weak Data Mining Toolkit. Team Task ......................................................................................................................................... 3 1.0 Introduction ................................................................................................................................. 3 2.0 Related Works ................
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removed by injecting penicillin for a week. But current techniques cannot discriminate between a lesion and an abscess .Our paper aims at distinguishing these two by astute measurement of their respective sizes using two algorithms –hill climbing algorithm‚ fuzzy C mean clustering algorithm aided by fundus photograph. Keywords: Abscission‚ Fuzzy C‚ Hill climbing‚ Endodontic therapy‚ Lesion‚ Gutta- percha. I INTRODUCTION Human teeth will be more prone to infection if it is void of any care. In the recent
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aware that research was published at a security conference proving a successful attack against X.509 digital certificates signed using the MD5 hashing algorithm. This attack method could allow an attacker to generate additional digital certificates with different content that have the same digital signature as an original certificate. The MD5 algorithm had previously shown a vulnerability‚ but a practical attack had not yet been demonstrated. Solution : for this we need to update the latest security
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THE SEVEN SORTING SCHEME 1. BUBBLE SORT The bubble sort is generally considered to be the simplest sorting algorithm. Because of its simplicity and ease of visualization‚ it is often taught in introductory computer science courses. Because of its abysmal O(n2) performance‚ it is not used often for large (or even medium-sized) datasets. ALGORITHM: for i = 1:n‚ swapped = false for j = n:i+1‚ if a[j] < a[j-1]‚ swap a[j‚j-1] swapped = true
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edges that connects all of the vertices. Minimum Spanning Tree 24 4 23 6 9 18 • • • • • • • 5 introduction Weighted graph API cycles and cuts Kruskal’s algorithm Prim’s algorithm advanced algorithms clustering 11 16 8 10 14 7 21 G References: Algorithms in Java (Part 5)‚ Chapter 20 Intro to Algs and Data Structures‚ Section 5.4 Copyright © 2007 by Robert Sedgewick and Kevin Wayne. 3 Minimum Spanning Tree MST. Given connected graph
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