• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.16-21
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• 2022

In this research, we create a network infrastructure based on a service-oriented infrastructure (SOI) for the virtualization technology and integrate it with a cloud technology that applies the cloud integration management platform (CIMP) concept. In CIMP, the server and storage will be separated. The server will be adopted for virtualization while the storage will be used by students and teachers to store data. As long they save their data in the storage module, every time, everywhere, and on every device, they can access their data. This research will implement the design of the network infrastructure and be applied to the remote practical learning system in the laboratory. Students and teachers will ultimately adopt this network infrastructure for remote practice using their respective devices without physically meeting in the laboratory. In the future, if the implementation phase is successful, then in addition to laboratory environments, it can be implemented in all learning activities at our campus.

• The KIPS Transactions:PartC
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• v.13C no.3 s.106
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• pp.283-294
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• 2006

Hostile network traffic is often different from normal traffic in ways that can be distinguished without knowing the exact nature of the attack. In this paper, we propose a new anomaly detection method using inbound network traffic distributions. For this purpose, we first characterize the traffic of a real campus network by the distributions of IP protocols, packet length, destination IP/port addresses, TTL value, TCP SYN packet, and fragment packet. And then we introduce the concept of entropy to transform the obtained baseline traffic distributions into manageable values. Finally, we can detect the anomalies by the difference of entropies between the current and baseline distributions. In particular, we apply the well-known denial-of-service attacks to a real campus network and show the experimental results.

• 한국정보통신설비학회:학술대회논문집
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• 2004.08a
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• pp.273-277
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• 2004

서울대학교와 KT는 연구 환경 조성과 U-Campus 시범 구축을 위해서 산학협력 협약을 하고, 서울대학교에 NESPOT 시설을 구축하였다. 본 논문은 서울대학교 내의 NESPOT 이용자들의 NESPOT 서비스 이용 패턴 및 무선랜의 트래픽 특성을 분석하기 위한 시스템의 설계와 구현에 대한 내용을 다룬다. NESPOT 트래픽 특성을 분석하기 위한 시스템은 TCPDUMP를 이용하여 백본 라우터로부터 네트워크 전체에 대한 정보를 획득하고, SNMP (Simple Network management Protocol)을 통해 AP로부터 무선랜 관련 정보를 얻는다. 그리고, NESPOT 사용자의 단말에 관련된 보다 구체적인 정보를 얻기 위해서 TIS (Terminal Information System)을 개발하였다.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Journal of Digital Contents Society
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• v.12 no.3
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• pp.361-370
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• 2011

Recent popularity of the smartphone market, with the explosive growth of mobile location-based SNS(Social Network Service), is into the mainstream. SNS aims to cooperate and share information with all users, but mobile SNS is still not easy people with disabilities. In addition to using the Web, it has difficulty to provide an appropriate interface to access such as smartphone for people with disabilities. This paper will specify and analyze the context-awareness technology and SNS function, and study a variety of information that students with disabilities such as time, location and activity states including data collection and analysis of the situation by converting the status information. It has provide that students with disabilities to lead comfortable life in school according to the various types of disabilities, and school information and safety services using mobile location-based SNS.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.3
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• pp.541-550
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• 2015

The importance of efficient enterprise network management has been emphasized continuously because of the rapid utilization of Internet in a limited resource environment. For the efficient network management, the management policy that reflects the characteristics of a specific network extracted from long-term traffic analysis is essential. However, the long-term traffic data could not be handled in the past and there was only simple analysis with the shot-term traffic data. However, as the big data analytics platforms are developed, the long-term traffic data can be analyzed easily. Recently, enterprise network resource efficiency through the long-term traffic analysis is required. In this paper, we propose the methods of collecting, storing and managing the long-term enterprise traffic data. We define several classification categories, and propose a novel network resource efficiency through the multidirectional statistical analysis of classified long-term traffic. The proposed method adopted to the campus network for the evaluation. The analysis results shows that, for the efficient enterprise network management, the QoS policy must be adopted in different rules that is tuned by time, space, and the purpose.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2843-2852
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• 2013

In the nested mobile network environment, the mobile node selects one of multiple mobile routers. The MR(Mobile Router) by existing top-down or bottom-up methods may not be the optimal MR if the numbers of mobile nodes and routers are substantially increased, and the scale of the network is increased drastically. Since an inappropriate MR decision causes handover or binding renewal to mobile nodes, determining of the optimal MR is important for efficiency. In this paper, we propose an algorithm that decides on the optimal MR using MR QoS(Quality of Service) information, and we describe how to understand the various structured MLP(Multi-Layered Perceptron) based on the algorithm. In conclusion, we prove the ability of the suggested neural network for a nesting mobile network through the performance analysis of each learned MLP.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.81-91
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• 2017

In Korea, "Act on the Development of Cloud Computing and Protection of its Users" has been enforced since September 28, 2015. Many countries implemented 'Cloud First' policies and global companies such as Amazon, Microsoft, IBM started cloud services in Korea. Under these circumstance, the Act was established for developing the cloud computing industry. The Act includes clauses for encouraging the use of private cloud computing by public organizations, supporting small- and medium-size cloud service providers, and utilizing secure cloud computing services by users. However, some terms appear to be similar but have different meanings from "Act on Promotion of Information and Communications Network Utilization and Information Protection, etc." and "Personal Information Protection Act". This generated some confusion and conflicts in relation to providing user information to a 3rd party and notifying the intrusion in the Cloud Computing Act. This paper discusses these issues and suggestions for revision of the Cloud Computing Act.

• Journal of Advanced Navigation Technology
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• v.21 no.3
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• pp.294-299
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• 2017

Home network service is evolving into a service that can receive contents such as remote education, home automation, remote meter reading and various entertainment anytime and anywhere by connecting all household appliances in home with wired and wireless network. In this paper, an intelligent home gateway installed at home is connected to the mobile communication terminal from the outside to solve the problems of the existing home network and configure and maintain a more efficient and comfortable home network environment for the user, In the window, the login page is activated to confirm the user access authority, and the user proceeds the authentication procedure through own login information. When the normal authentication procedure is performed, the intelligent home gateway maintains only the network connection with the user, and the user presents the intelligent home network system using the RFID which is accessed by the intelligent home network system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.15-23
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• 2016

In this paper we presented 4G security models in an open environment. 4G networks have still more security holes and open issues for expert to notice. In here. we show that a number of new security threats to cause unexpected service interruption and disclosure of information will be possible in 4G due mainly to the fact that 4G is an IP-based, heterogeneous network. it tells about the security issues and vulnerabilities present in the above 4G standards.. we try to present several architectures behind 4G infrastructure for example WiMAX and 3GPP LTE architecture. Finally, we point to potential areas for future vulnerabilities and evaluate areas in 4G security which warrant attention. When you make a big dada program, If you use this network architecture then you can improve your learning speed.