VOLUME 1, ISSUE 5, JULY 2012

Abstract: Nearly every web application is developed in a way that the demand of specific data is completed through user input. When dynamic SQL query is used there is a possibility that user may insert malicious code as input in order to have access of sensitive information or unauthorized access of the database [7]. We have developed a new mechanism to prevent SQL injection attack, in this method we have stored some exceptional information in the database which cannot be used in normal case, our application look for such exceptional information, if it is found in accessed data then request is discarded by the web server.

Keywords: SQL Injection, Malicious Code, Attacker, Unauthorized Access

Abstract: Considering an under supervised 3D space where a group of mobile devices with limited sensing and communicating capabilities are deployed, this paper aims at proposing a decentralized self-deployment algorithm for agents to get maximum connected coverage topology. The problem is modeled as maximization which is solved completely distributed. In fact each agent tries to maximize its sensing volume while preserving connectivity and having high quality communication links. Then each agent knowing distance of its neighbors defines an error function and tries to decrease the error by changing its positions through gradient descent algorithm.

Keywords: mobile sensor networks, coverage, connectivity, QOS, gradient descent

Abstract: Cloud Computing is a versatile technology that can support a broad-spectrum of applications. The low cost of cloud computing and its dynamic scaling renders it an innovation driver for small companies, particularly in the developing world. Cloud deployed enterprise resource planning (ERP), supply chain management applications (SCM), customer relationship management (CRM) applications, medical applications and mobile applications have potential to reach millions of users. In this paper, we explore the different concepts involved in cloud computing. Leveraging our experiences on various clouds, we examine clouds from technical, and service aspects. We highlight some of the opportunities in cloud computing, underlining the importance of clouds and showing why that technology must succeed. Finally, we discuss some of the issues that this area should deal with.

Keywords: Cloud Computing, SaaS, Paas, IaaS.

Abstract: Interacting with machines with voice as interface is one of the prominent and emerging trends, having voice as interface between man and machine makes the work simpler. Many applications were developed which have voice as the mode of communication. Here we have discussed a novel methodology that provide a suitable way of accessing internet contents by giving voice as input through normal phone calls , here to work with this system , it’s just enough for the user to have a normal phone which is sufficient enough to make voice calls . Voice recognition is then made from the input (user’s voice from the call) to retrieve the proper contents from the internet, then which it is used by the parser to extract the needed information from the WebPages. The text information extracted is then converted to audio which will be delivered to the user by automated voice system .We have also discussed about our ongoing work for this paper and at last we have set the outlined direction for the future development of this paper , i.e., to improve the voice control over the system .

Keywords: parser, voice recognition, speech synthesizer

Abstract: Grid Computing means pools of distributed computer resources with multiple administrative domains. Grid computing over the internet requires more extensive security than within a single enterprises and robust authentication is employs in such a system security is the major issue related to and computing authentication is the important part in gird security. Other process in grid are depends on authentication. The aim of this proposed system is to enhance the security of the grid using facial bio metric. In this proposed system the study is done on existing grid security infrastructure. Simple user authentication using certificate has been selected as the reference for the enhanced authentication scheme. Here we have developed a system that uses a biometric input of user for authentication. We have use use’s face as biometric input

Keyword: GridComputing, Golbus tool kit, GSI, GridFtp, MyProxyCredentials, Authentication, AuthorizationDelegation, Eigenspace Projection.

Abstract: Next-generation communication evolution towards 4G promises to meet the demands for ubiquitous communication. MIMO technology has become a mandatory requirement to achieve the goals of future wireless communication. This paper describes the System design methodology for MIMO Wireless platform. Software simulations provide flexibility, but the true performance of the system can only be known by developing a hardware wireless platform and performing measurements and tests in the target environment. Hardware Implementation concept of MIMO Wireless platform based on DSP and FPGA is presented, various development tools available for system simulation and analysis is discussed. This paper gives an overview of Conceptual System Design Methodology, Software simulation tools and hardware implementation strategy for developing MIMO Wireless Communication System.

Keywords: 4G, MIMO, DSP and FPGA.

Abstract: This Paper describes the design and performance of a secure path with time-space cryptography for mobile ad-hoc networks. It works in the time domain for key distribution between source and destination as well as in the space domain for intrusion detection along the route between them. Even if public key encryption is more powerful and superior in distributing keys, our scheme relies on symmetric key encryption because it is highly efficient and simple to implement. Thus, each node does not require any powerful hardware, thereby leading to a small and light device. The symmetric key cryptography shares a common secret key between source and destination.

Keywords: Cryptography,SecuredRouting,Ad-hoc Networks

Abstract: Recently in switching the information between patients, staffs and hospitals, the Healthcare Web Portals (HWP) play a crucial role as a media tool to attain the challenging objectives of the quality of patient care and controlling operating costs. Looking wisely at literature shows that most prior researches have only focused on dimensions of e-service quality as the non-human actors. However, due to socio-political reasons, online HOs are positioned in a heterogeneous network, the social and technical or in other words human and non- human actors are equally important in the network. The main objective of this research is to propose a model for the online Healthcare Organizations (HO) with the view to make patients more attractive, trust and loyal to the online HO. Therefore, based on the extend review of literature, the initial research model adapted from the online shopping context and will extend to the online HO context. The initial research model is divided into three transaction stages such as pre-HO transaction, HO transaction and post-HO transaction stage. In addition, at each transaction stage human and non-human actors may influence patients’ satisfaction and as a result, make patients more attractive, trust and loyal to the online HO. In terms of human actors, at each transaction stage, friends and family members impact on patients’ satisfaction. In terms of non-human actors, dimensions of e-service quality influence patients’ satisfaction. For example, at pre-HO transaction stage (1) information, (2) usability and (3) efficiency, at HO transaction stage (1) security, (2) system availability, (3) fulfilment, (4) privacy and (5) reliability and at post-HO transaction stage (1) responsiveness, (2) empathy, (3) compensation and (4) contact impact on patients satisfaction and make patients more attract, trust and loyal to the online HO accordingly.

Keywords: Online Transaction, Online healthcare, ANT, Attraction, Trust and Loyalty

Abstract: This paper describes challenges of urban transportation and one of the cost effective approach to intelligently manage the public transpiration in the city. The GPS based urban transportation management system in which the fleet tracking using GPS & GSM/GPRS technology and public information system unit mounted at bus. The real-time co-ordinates help to guide the onboard commuter to destination. The unit mounted on bus sends the data using GSM/GPRS module to central monitoring system & displays it on City Map. This application is easy to deploy and provide effective management tool to urban transportation authorities for optimal utilization of present resources for improvements in term of load management, optimal route designing & real-time monitoring and control of the fleet.

Keywords: GPS tracking , GSM/GPRS , public informaiton system, fleet management, maps , central monitoring & control

Abstract: Application of Artificial Neural Networks (ANN) to intrusion detection has been considered in this research work. Experimental data were collected using KDD database.Using the data collected, the training patterns and test patterns are obtained. An ANN has been used to train the data offline. The weight updating algorithms developed for the ANN are based on the back propagation algorithms, echo state neural network and the functional update method. The method of presenting the patterns to the input layer of the network has been analyzed. The different methods of presenting the input patterns, such as reducing the dimension of the input patterns by a transformation and preprocessing of the input patterns for non linear classifiers have been investigated.In order to find the optimum number of nodes required in the hidden layer of an ANN a method has been proposed, based on the change in the mean squared error dynamically, during the successive sets of iterations. Two classification and four classification problems for training an ANN at different levels have been studied. Optimal discriminant plane technique which is a classical method has been used to reduce the dimension of the input pattern and then used to train an ANN. This reduces the size of the network and the computational effort is reduced drastically.The training of an ANN has been considered by splitting the single configuration into two configurations. The convergence rates of the split network are faster than that of single configuration network.The input patterns are preprocessed and presented to the input layer of ANN. Various types of preprocessing of the patterns are investigated. Comparisons of the classification performance and computational effort of the different weight updating algorithms with different training methods have been given. Several algorithms developed in this research work may find other application areas and in security with little modifications.

Keywords: ANN, weight updating, input layer, network, KDD

Abstract: Keywords are a set of significant words in an article that gives high-level description of its contents to readers. They provide a concise and precise high-level summarization of a document. Keywords are useful tools as they give the shortest summary of the document. A keyword is identified by finding the relevance of the word with or without prior vocabulary of the document or the web page. Generating the word statistics as well associating the words and categorizing it is the main focus which is pinned down in this paper.

Keywords: Keywords, Keyword extraction, threshold, association rules.

Abstract: This research examined the landcover classification using remote sensed image radar system and using a computational vision system of cortex. The aims of this research, 1) to use SAR (Synthetic Aperture Radar) Image for landcover classification using PCNNN, 2) to utilize image processing software for landcover classification using PCNN, 3) to analyze the ability of SAR image for landcover classification using PCNN. Method was used in this research, remote sensed image processing using artificial neural network with PCNN architecture. The field sampling frame work of the landcover classes using stratified random sampling. The field data were analyzed by confusion matrix to determine the level of accuracy. The results of this research are landcover classes of SAR image classification using PCNN, landcover classification using SAR image and PCNN utilized by image processing software, produce three classes of landcover consist of buildings, vegetation, and open land/water body, with an accuracy level of 70,03%.

Keywords: Landcover, Synthetic Aperture Radar, Pulse Coupled Neural Network (PCNN), Remote Sensing

Abstract: The purpose of this paper is to find a new technique on issue of network security using Biological algorithm of bees and presenting new methods of establishing security in a network and reduce its amount of traffic by eliminating the presented disruptive packets. A sample of an application to this method is discussed in continue.

Keywords: biologic mechanism,network security , worker bees, firewall