Dong-Sub Cho

Optimal Super-peer Selection for Large-scale P2P System

The peer-to-peer (P2P) systems have grown significantly over the last few years due to their potential for sharing various resources. Unstructured hybrid P2P system can improve the performance of the entire network and system using SP (Super-peer), which has the responsibility for query processing instead of OPs (Ordinary-Peer). In these systems, selecting the best SP to join is an important problem, but it is difficult to choose the optimal SP by the various reasons such as heterogeneous capacity, content similarity and dynamic capacity change. In this paper, we present the SP selection¿s problem and SP selection strategy based on dynamic capacity of the SP and content similarity. Also we measure the SP¿s score with weight to the factors distance cost, processing power and content similarity. Through the simulation, we show query processing performance is improved when OPs use our strategy to choose the best SP

Super-Peer selection based framework using dynamic capacity and similarity

The peer-to-peer (P2P) systems have grown significantly over the last few years due to their potential for sharing various resources. SP (Super-peer) based P2P systems give the responsibility for query processing to the SPs instead of their OPs (Ordinary-Peer). In these systems, selecting the best SP to join is an important problem, but it has received little attention from the research community. In this study, we propose ISP2P (Intelligent Super-peer based P2P system), which can provide the best SP by analyzing dynamic capacity and similarity between peers. This proposed system can improve scalability and reduce SPs workload by dynamic CPU load, and decrease message traffic by the physical capacity and similarity of content and user behavior.

The chamois component-based knowledge engineering framework

A prototype software framework and research testbed exploits recent findings in knowledge engineering to power an electronic commerce application. Chamois combines two main components. The infrastructure component consists of software products and prototype modules that provide key knowledge engineering technologies. The application component uses the infrastructure as a data and knowledge resource. We chose the primary application, an electronic commerce system, as our validation candidate because it includes various functional components that use the underlying knowledge engineering technology. These components include personalization, security, quality-of-service transmission of multimedia data, querying, and XML document management.

Adaptive web site construction using ART

The design of a complex web site is a very difficult problem on the World Wide Web. Each user has different goal and sites are usually changing while the site grows and evolves. Web servers record data about user interactions as web log data. This web log has all hits of user access. In order to improve system performance and to reduce visitors navigation effort, the adaptive web site was suggested. The adaptive web site is a web site that automatically improves its organization and presentation by self-learning. To get information for site modification, the authors use the web log. They cluster the pages in the web site using ART (adaptive resonance theory) and provide grouped pages to improve system performance. The ART model clusters the web log pattern well and the result of clustering information is good to system topology modification.

Secure mobile content delivery using dynamic group key agreement with batch verification

Recently, the bilinear pairings such as the Weil and the Tate pairings defined on algebraic curves over a finite field have found applications in the design of cryptographic protocols. One useful application in mobile environments is for secure group communication over a public network. The members in the group need to establish a common group key that will be used to encrypt messages to be broadcast to the group. Furthermore, it is important to update the group key with low computational costs when the members join and leave the group. In this paper, we propose a pairing-based key exchange protocol for dynamic groups. The proposed protocol achieves low communication complexity and provides some computational savings by the batch verification of signatures. We show that the security of our scheme is guaranteed against an active adversary in the random oracle model under the bilinear Diffie-Hellman (BDH) assumption.

Classification of web link information and implementation of dynamic web page using link map system

Great many Websites exist present. These Websites are developing various services to accommodate many customers. This time, several kinds of links exist to website. But, size of early service Web page increased as numbers of this service increase greatly. A lot of links give load to Web server. When several users approached for Web page, a lot of links can give decline in the service speed. We made link map system to supplement this problem. So, web page links everybody do not service and provide some service. So, this system can reduce serverpsilas load. Access users remove normal times and approach to Website similarly, but links that link map system is needless automatically and service Web page. This time, we test effect that reach to subordinate to server. Also, we test serverpsilas phase diagram by difference of service number of links.

Dynamic Workload Balancing for Collaboration Strategy in Hybrid P2P System

The peer-to-peer (P2P) systems have grown significantly over the last few years due to their high potential of sharing various resources. Analyzing the workload of P2P system, however, is very challenging as it involves with the cooperation of many peers. Researches have shown that P2P systems become very effective when dividing the peers into two layers, SP (Super-Peer) and OP (Ordinary-Peer). In this configuration, SP based P2P systems have to deal with a large volume of queries from OPs. Therefore, it is important for SPs to keep their workload stable to provide quality service to the OPs. In this study, we present a collaboration strategy for workload balancing based on SPs workload characteristics and status. Through the SPs load balancing mechanism, the message response time is decreased and the workload of P2P system becomes more stable.

Performance Analysis for User Interface in Real-Time Ubiquitous Information Network

The Web server for knowledge and information should be unified as a center for real-time information network in the ubiquitous computing environment. We studied the performance analysis for HCI (human-computer interaction) user interface in real-time ubiquitous information network based on wired and mobile Internet. We show an empirical performance analysis and metrics for user interface, at the customer’s perspective, on the basis of simple implementation of the unified information portal accessible with single character domain names.

Improved Authentication Scheme Using Facial Recognition Scheme Based on RFID Tag

Recently diverse studies have emerged on the ubiquitous environment including the ones on RFID tag. In terms of security, in particular, RFID tag is not able to provide complex forms of security services due to its hardware limits, putting in turn limits on its wider use. Therefore, this thesis is to suggest an improved RFID tag authentication scheme using face recognition scheme. It divides passive RFID tags and active ones, provides secure device authentication using the hash function based on the passive RFID tag, and offers user authentication using 2D face recognition data, thus providing an improved form of RFID authentication scheme.

A Personalized Recommendation Agent System for E-mail Document Classification

Overload of information due to rapidly developing Internet and increases of e-mails are inconvenience for all Netizens now. Many existing recommendation systems or text classification using personalization techniques are mostly focused on recommending the products for the commercial purposes or web documents. This study aims to apply these application categories to e-mail more necessary to users. Moreover, this study tries to improve the accuracy as eliminating the limits of misclassification that can be key in classifying e-mails by category and deleting Spam mails.