International Journal of Software Engineering and Technology Informatics

Thursday, February 12, 2015

Performance Analysis of RSA and ElGamal for Audio Security

Performance Analysis of RSA and ElGamal for Audio Security
Authors:TIN ZAR NWE, SU WAI PHYO

Abstract: The main aim of cryptography is to enhance the data privacy by making the information unreadable to all except intended person. The system presents an alternative solution using different algorithms of the data. The system recognizes the intended data to intended persons to control the misusage of data. The encryption algorithms provide a secure communication over the internet. This system provides the performance analysis of RSA and ElGamal algorithms for audio security depending on the execution time. To analyze the performance, audio (.mp3) file format with various file sizes are used in the execution time of two algorithms. The system is implemented by using c# programming language.

Keywords: Asymmetric Encryption, Cryptography, Elgamal, RSA, Security, Symmetric Encryption.

I. INTRODUCTION

The computer and communication technology’s today, video conferencing, multimedia, online teaching systems, security of bank cards, etc are becoming very popular. The important concern in this paper is protection of data from misuse through data communication. Among them, audio file security plays one of the vital roles. Several approaches are normally used in this system including Symmetric Encryption, Asymmetric Encryption, Elgamal, and RSA. To tackle these security problems, cryptography algorithms are very essential ways. Figure 1 shows the simple flow diagram of encryption algorithms.

MAC Authentication for Compressed Image Using Diffie-Hellman Key Exchange Algorithm

MAC Authentication for Compressed Image Using Diffie-Hellman Key Exchange Algorithm
Authors:S. KIRAN, B. LAKSHMI NARAYANA REDDY

Abstract: Image authentication is a process to indicate its authenticity and origin of the image. In this paper we propose image compression with image content authentication. From our experimental results, the technology provides a unique signature for every processed image. We can use the unique signature to confirm if the image is modified easily with image compression technique.

Keywords: Authentication, Compression, Signature, Cryptography, Protection.

I. INTRODUCTION

Digital Images have been widely used in many areas such as military, government sectors, hospitals, forensic science etc. If the modification or duplication is unauthorized then it is illegal. The Image digest is encrypted using such cryptographic techniques as public-key encryption

A. Problems with Image Authentication

The excelling technology of today’s world highresolution image editing tools has made altering images very simple. In many cases alterations don’t leave any clues that the image has been altered. All image authentication techniques are sorted into two types: Watermarking and Digital Signature scheme[13][14], each scheme has its own advantages and disadvantages. Manipulation technique amenable to analysis involves primarily alteration and composition. Altering is the changing of the image features through the use of artistic means [6][11], the example shown in Figure 1.

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Medical Images Classification by using Artificial Intelligence Techniques

Medical Images Classification by using Artificial Intelligence Techniques
Authors:WESSAM LAHMOD NADOS, R. DILEEP KUMAR

Abstract: As known, the brain tumor is the most common fatality in the current scenario of health care society. Hence, a robust and more accurate detection system provides an efficient and fast way for diagnosis of the brain tumor is highly essential for treatment planning which can minimize the fatal results. Accurate results can be obtained only through computer aided automated systems to avoid the human error in manual interpretation of medical image content and to obtain high performance and efficiency. The proposed method consists of many stages, namely, image acquisition, image segmentation, features extraction, and classification. Modified K-means clustering algorithm that named weighted K-means used in segmentation stage to convert images into set of regions, the output of this stage will be input to features extraction stage. In features extraction stage multi extracted textural features using Gray Level Co-occurrence Matrix (GLCM) matrices in four directions, these features are used in classification stage. K-Nearest Neighbor classifier is used in decision making. In the experiment we test many MRI images and the results show that provides better output and the classification accuracy of our method is 86%.

Keywords: Brain Tumor, A.I Techniques; MRI; Weighted K-Means, GLCM, K-Nearest.

I. INTRODUCTION

The brain tumor is one of the major causes for the increase in mortality among children and adults. A tumor is any mass that results from abnormal growths of cells in the brain. It may affect any person at almost any age. Brain tumor effects may not be the same for each person. Tumors can directly destroy healthy brain cells[2]. They can also indirectly damage healthy cells by crowding other parts of the brain and causing inflammation, brain swelling, and pressure within the skull [1].Brain tumors are either malignant or benign.

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Specific Face Feature Extraction for the Model of Facial Expression

Specific Face Feature Extraction for the Model of Facial Expression
Authors:MYAT THU AYE

Abstract: The specific face features extraction method based on the cubic B-Spline control curve approach is proposed. It will provide to the three dimensional modeling and recognizing the facial expression. The outline curves of eyes, nose and mouth are extracted by the integration of the region segmentation with morphological image processing and canny edge detection approach. These outline curves are reproduced into B-Spline curves with the desired number of points. The matching of the curve of input image and the various expression curves in a predefined data set is operated. Through the experimental results with acceptable errors, the proposed method work adequately.

Keywords: B-Spline Control Points, Canny Edge Detection Method, Facial Expression, Outline Curves, Region Segmentation.

I. INTRODUCTION

The recognition and synthesizing of the human facial expression is important in many application areas contain the natural facial expressions for characters in films, games, various virtual environments, and facial avatars in instant communication programs and so on. Then the facial feature extraction work is occupied the essential role for improving the accuracy of facial expression recognition and synthesizing. The simple and first extraction method of specific facial features of a face is developed based on the cubic B-Spline curve and control points. The region segmentation with morphological image processing and canny edge detection approaches are applied for extracting the outline curves of the specific face features.

Applying Mobile Agent Information Querying System for Bookshops

Applying Mobile Agent Information Querying System for Bookshops
Authors:EI PYAE PHYO, MOE MOE AYE

Abstract: This system presents a case study namely Applying Mobile Agent in Information Querying System for Bookshops and the roles of mobile agents. A mobile agent technology provides an alternative way to assist the user in finding relevant Web based information. Agent technology is a novel approach for the development of distributed system. In this system, the user can query the book information from one bookshop or all bookshops with the help of agents. The search agent that is mobile agent is dispatched to bookshops and negotiated with database agents to get books information for the user. By using this system, user can easily to inform the book, they just only known about Author name, Title and Price range. In this system, Java-based mobile agent system, called the Aglets workbench, will be used as language tool.

Keywords: Aglets, Distributed Databases, Mobile Agents.

I. INTRODUCTION

Today, the number of available information sources is growing rapidly. Finding and combining the relevant information is becoming a critical task. There is a need for facilities that perform these integrating tasks and thus overcome problems such as distribution and heterogeneity. We can access incredible amount of information at widearea networks, where data are stored at heterogeneous sources and the accessibility of individual sources varies by large degree.

Exploring a Disconnected Synchronization Architecture Between Android Client and Cloud

Exploring a Disconnected Synchronization Architecture Between Android Client and Cloud
Authors:PRATIK NADAGOUDA, SAURABH PHADNIS

Abstract: Cloud computing as a form of data storage and retrieval through client-server based software has thoroughly pervaded through mobile application development. A multitude of applications are present requiring continuous internet connectivity for data access from the applications’ host servers. The problem addressed in this paper is facilitating data availability even in environments, which do not allow for continuous internet accessibility. We have developed a sample application for doctors to use, based on the Android mobile platform as the client and the Google App Engine as the backend server. In this case, we have explained how synchronization can be done through encrypted JSON format messages when internet is available, while data is stored efficiently in the local mobile database for offline access.

Keywords: Android, Google App Engine, Data Synchronization, Medical Application.

I. INTRODUCTION

The popularity of mobile devices has increased rapidly in the recent years. A report by Gartner states that the worldwide total sales of mobile handsets in 2013 has surpassed 1.8 billion. Out of these, over 750 million were Android based smart phones. Gartner says Android had a 78.4 % market share in 2013, a 3.5% increase from 2012 [1]. It is plain to see that the popularity of Android is due to its ease of use, and consequently, this has made it possible for developers to reach a wider audience with innovative applications. Medicine is one of the fields in which technology has become common to increase efficiency in application. However, on one hand large hospitals have patient database storage units, online record access, and software for staff usage; and on the other hand it is difficult for small private practitioners to afford such technology. In relation to the vast numbers of private clinics present, there is a dearth of technological facilities available to them. We present an application that will provide the required accessibility to data to help doctors organize and maintain their patient information.

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Design of Software Partitioning for X86 Family Processors: HPPAR

Design of Software Partitioning for X86 Family Processors: HPPAR
Authors:MANJUNATH A.E

Abstract: A very large number of computing and I/O resources will be available in a single platform. Partitioning these resources when they were not in a single platform was simple because the hardware was physically in separate boxes. For one thing, the processors did not share a common memory and also the common controllers. Virtualization with commodity hypervisors holds the promise of solving this problem of logical partitioning of resources in a single box. What commodity hypervisors cannot do is create efficient partitions of dedicated resources which are not shared with other partitions. This capability is critical in certain enterprise level class environment.

Keywords: Partitioning, Hypervisor, Virtual BIOS, Unified Extensible Firmware Interface, Single Root I/O Virtualization.

I. INTRODUCTION

As in recent years many companies have introduced a software logical partitioning feature, LPARs, on their iSeries servers which uses a firmware layer to create logical partitions. The firmware is able to partition a server into different hardware partitions by having strict control over all memory mapping to physical memory for computation and I/O in each partition. This technique adds flexibility by allowing repartitioning without requiring a reboot of the server. There is a performance tradeoff because of the overhead processing degradation that is required for the memory mapping function. Each of the software partitioning solutions reviewed is differentiated by the processor family that it supports. As such, High-powered partitioning (HPPAR) is architected to uniquely provide a feature set for Intel x64 processors which is comparable to LPARs on IBM’s Power processors.