Authentication Process in Smart Card Using Sha-256

Smart cards are related to the issues of security. The applications of smart card are manipulated in hardware, software and telecommunications which appears to be a big issue. In this paper we introduce a new design which is a secured 2 level processing in authentication which uses the number of the pin as 1st authenticated level by the use of SHA-256. OTP is brought as a 2nd authenticated processing level. The project is to generate an OTP using the sha-256 hashing algorithm. As the program initiates, ‘local host: 8080/view’ is typed in the web browser to bring up the front end of the application. Client and server nodes are created in the client node, the column for the username, credentials, messages and the trust values created while on server node, name and user credentials are created.

Simulating Multimedia IOT

While working with IOT projects with camera sensor ,the cost of hardware becomes prohibitive as it is not possible to duplicate the hardware for a large number of sensors. Here we need to have lots of multimedia sensors which send image data. The image data so generated is to be compressed at the client node suitably using some transform. To make a cost effective client we simulate it as a client process in linux. .Here a random number generator is used to generate an image sample. In this implementation we use a wavelet transform to compress the generated image. This is then sent over a socket to the server process. On the server side a stream socket receives the image data which is then suitably decompressed. Here a broad range of image processing algorithms are applied to enhance the image, threshold and segment it. Here different morphological operations are applied to isolate the region of interest. There could be multiple clients generated in several windows. This way a cost effective client and server is implemented to simulate the IOT architecture.

Development of Distributed Computing Framework for Parallel Multi-Disciplinary Optimization

This paper discusses the detailed design and development of a web based parallel multi-disciplinary optimization (PMDO) framework in the distributed computing environment. This system consists of the HTTP server, the XML parser and the communication module based on TCP/IP, and is built around a computational kernel called the ACES kernel, which provides powerful computation and evaluation capabilities as well as optimization routines specifically designed for engineering purposes. We formulate and subdivide an optimization problem into several sub-problems such that one node is designated as a master which solves the overall problem and the others are distributed to client nodes each of which handles each independent sub-optimization problem. In the iteration to solve the overall optimization problem, the master forwards necessary data to each client for updated values which are the solutions of sub-optimization problems and collects the results from all the client nodes. The master continues the iteration until the optimum is reached. All optimization problems are represented in XML form and provided as input to the master and each client node.