iosr-JCE   Volume-17 ~ Issue-3 ~ May-June 2015

Abstract: Web services are the most important point of usage for the modern web architecture. The Service oriented architecture (SOA) used in web services offers a simple platform for integrating heterogeneous distributed web applications and service. The distributed and open nature of the present system makes it vulnerable to security issues such as Web service Description Language (WSDL) spoofing, Middleware Hijacking, etc. Assuring security for the web services to solve all security flaws is difficult. Authorization is an important aspect for assuring security. Authorization failure can create much vulnerability for the system security using web services which are distributed in nature. In this paper a survey of the authorization techniques for web services based application.

Keywords: web services, authorization, access control in web services, attacks on web services

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Abstract: Human face recognition systems have gained a considerable attention during last decade due to its vast applications in the field of computer and advantages over previous biometric methods. There are many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. Human face detection suffers from various challenges due to variation regarding image conditions, size, resolution, poses and rotation. Its accurate and robust detection has been a great task for the researchers. There exist various numbers of methods and techniques for face detection but none can guarantee successful in all conditions for all kinds of faces and images. Some methods are exhibiting good results in certain conditions and others are good with different kinds of images. Face detection based on skin color is found to be more effective technique because of the properties of skin color which is unique and can be easily separated from the other objects present in the image and background.

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Abstract: In cloud computing applications are provided and managed by the cloud server and data is also stored remotely in cloud configuration. As Cloud Computing is growing rapidly and clients are demanding more services and better results, load balancing for the Cloud has become a very interesting and important research area. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time. In this paper, a fully distributed load rebalancing algorithm is presented to cope with the load balance problem. Our algorithm is compared against a centralized approach in a production system and a competing distributed solution presented in the literature.

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