Developing a decision tree algorithm for enhancing accuracy and computational complexity of traditional algorithms

Chapter 1 Introduction Data mining is a tool of data analysis and recovering the essential patterns from the data. In order to enhance the accuracy of data analysis a new kind of data model is introduces as the domain of study and their overview in terms of objectives and the motivations. In addition of that … Read more

Cryptography algorithm using data structure using C concepts for better security

ABSTRACT: For secure communication we always use different security algorithms e.g. Caesar cipher, modified Caesar cipher, IDEA, AES, RSA algorithm etc. and in data structures using C we have Linked list, stack ,queue ,tree and graph. In graph we have graph traversal i.e. BFS (Breadth First Search) or DFS (Depth First Search). This paper presents … Read more

AES Encryption

1. Introduction AES is a block of cipher algorithms originating from Rijndael algorithms (from the surnames of its inventors, two Belgian cryptographers: Joan Daemen and Vincent Rijmen). Rijndael is a family of ciphers with different key and block sizes. In June 2003, the US government announced that AES could be used to protect classified information, … Read more

Social media analytics – sentiment analysis

Abstract: The growing use of Internet and web-enabled devices has made it easier for us to access any kind of information anytime and from anywhere. People are always curious to know the feedbacks of products and services they are interested on and are always happy to get feedbacks from others. So opinion matters in our … Read more

Speaker identification and vertification

Keywords: Speaker identification , Speech recognition , support vector machine , melfrequency cepstrum coefficient . Biometric System Can be either identification or verification system there are a lot of the type of the biometric system like face recognition, fingerprint, voice recognition…etc. In my project I will use the voice recognition in order to identify and verify … Read more

Automated Security Testing for Web Applications

Nowadays, the dependency on Web Applications is enormous. From bank transactions to online shopping to online data maintenance(cloud storage), everything runs on web based applications. On the other hand, the hackers are becoming more sophisticated and organized to break into these web applications. This Research Project attempts to find out the test automation tools for … Read more

Threshold Multiple signature schemes

ABSTRACT Threshold Multiple signature schemes includes the various the striking features of threshold group-oriented signature and Multiple signature schemes so that ultimately it is able to derive a signature scheme that can provide a property by which various members of the software groups can collaborately sign an anonymous and arbitrary message for communication between different … Read more

Embedded systems software testing

Overview Over the past couple of decades product manufacturers have been increasingly adding instrumentation to everyday items, coffee makers, light switches, and garage door openers to name a few. Alongside the addition of digital instrumentation to household items, there has also been the recent explosion of small, internet connected smart devices introduced to the consumer … Read more

Secure Group Message Transfer Stegosystem

Abstract: Grid environment is a virtual organization with varied resources from different administrative domains; it raises the requirement of a secure and reliable protocol for secure communication among various users and servers. The protocol should guarantee that an attacker or an unidentified resource will not breach or forward the information. For secure communication among members … Read more

DRAP Algorithm for Energy-Efficient Malicious Node Detection in Wireless Sensor Networks

Nowadays in general the WSN used mainly for communication in emergency situations. Malicious activities in WSN will degrade the performance by increasing the energy consumption and changing the bandwidth variantly, and hence the overall network performance will decrease. Researchers are focusing on the prevention of malicious nodes and its activities in the earlier stages for … Read more

Block cipher

INTRODUCTION A block cipher could be a technique of encrypting text (to manufacture ciphertext) within which a cryptographical key and rule are applied to a block of information (for example, sixty four contiguous bits) quickly as a gaggle instead of to one bit at a time. the most different technique, used a lot of less … Read more

A GA Based Job Scheduling Strategy for Computational Grid

Abstract: To meet the ever increasing demand of computing capacity and to cater towards collaborative engineering grid systems have emerged as the effective solution. Scheduling on such systems play a very critical role to ensure that the available resources are assigned and used optimally. Scheduling on grid has been proven to be an NP hard … Read more

Generalize Recommendation System Using Web Graph Mining

Abstract: Lots of information gets extracted from web every day and this extraction is increasing in huge amount. When queries are submitted to search engines they are generally in natural languages and just of one or two words. Search engine are unable to recognize natural language and thus it becomes difficult to extract the proper … Read more

QoS Aware Voice Offloading In Heterogenous Network For VoIP

Abstract – This Wireless Heterogeneous Networks (HetNets) are considered as one of the recent idea in next generation mobile networks. HetNets aim to increase the network capacity to meet the high data demand of mobile users. In Het- Nets, voice flow can be offloaded to unlicensed bands (Wi-Fi) to free some of the resources of … Read more

A Detailed Analysis on Data Mining Techniques Used For Detecting Credit Card Fraud

Abstract Credit card fraud has proven to be many financial institutions big problem. Banks are losing a lot of money due to credit card fraud. This paper discusses three models for detecting credit card fraud using different data mining techniques. Data mining is a way of generating patterns from the data and divides this data … Read more