• Journal of Korea Multimedia Society
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• v.9 no.4
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• pp.482-489
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• 2006

How to process event message traffic efficiently is important to collaboration among multiple distributed users, and it is a key research issue in the virtual environment fields. AOI model is one of solutions for this problem; which reduces message traffic by restricting event propagation region into an area in which a user is interested. However, in previous systems, it is difficult to adapt to dynamic environment where changes in the number and movement of participants are frequent. This paper proposes a new event management model, called extended AOI model, which is helpful to improve flexibility and efficiency of traditional models, and is able to extend its functions by introducing multi-layered regions. The proposed model can be applied to DVE and MMORPG as an event filtering model.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.815-822
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• 2015

By the growing of SMS phishing victims, applications for processing spam messages are being released in succession. However most spam messages that cleverly modified the content like separating the consonants and vowels are fail to be filtered. In this paper, we implemented an application 'AntiSpam' which is able to identify spam strings in the text message to solve this problem. 'AntiSpam' searches spam strings in the text message by using set-based POI search algorithm, and then calculate the possibility of whether it is spam or not in accordance with the search results. In addition, it catches skillfully disguised spam messages in order to avoid missing the spam filtering. Users, who received a message, can check the result in spam message possibility decision result and the contents of the message and they can choose how to handling the message.

• Journal of KIISE:Databases
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• v.32 no.4
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• pp.372-382
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• 2005

Aggregation such as computing an average value of data measured in each sensor commonly occurs in many applications of sensor networks. Since sensor networks consist of low-cost nodes with limited battery power, reducing energy consumption must be considered in order to achieve a long network lifetime. Reducing the amount of messages exchanged is the most important for saving energy. Earlier work has demonstrated the effectiveness of in-network data aggregation and data filtering for minimizing the amount of messages in sensor networks. In this paper, we propose an adaptive error adjustment scheme that is simpler, more effective and efficient than previous work. The proposed scheme is based on self-adjustment in each sensor node. We show through various experiments that our scheme reduces the network traffic significantly, and performs better than existing methods.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.73-82
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• 2007

This paper proposes how to reduce the amount of data transmitted in each sensor and cluster head in order to lengthen the lifetime of sensor network by data aggregation of the continuous queries. The most important factor of refuting the sensor's energy dissipation is to reduce the amount of messages transmitted. The method proposed is basically to combine clustering, in-network data aggregation and hierarchical filtering. Hierarchical filtering is to divide sensor network by two tiers when filtering it. First tier performs filtering when transmitting the data from cluster member to cluster head, and second tier performs filtering when transmitting the data from cluster head to base station. This method is much more efficient and effective than the previous work. We show through various experiments that our scheme reduces the network traffic significantly and increases the network's lifetime than existing methods.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.223-225
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• 2002

인터넷의 급속한 성장과 함께 E-Mail은 대표적인 통신수단의 하나가 되어버렸다. 편리하다는 점을 이용해서 엄청난 양의 스팸메일이 매일같이 쏟아져 오고 , 그 문제점의 심각성에 정보통신부에서 정보통신망 이용촉진 및 정보보호 등에 관한 법률이라는 새로운 법률까지 생겨났다. 본 논문에서는 이 법률에서 요구하는 '광고'라는 문구를 걸러내는 등의 메시지 규칙을 갖는 시스템과 기존의 문서 분류에 널리 쓰이던 나이브 베이지안 분류자(Naive Baesian Classifier)를 결합한 스팸 메일 필터링 시스템(Spam-mail Fitering System)을 제안한다. 제안된 시스템에서는 사용자가 직접 규칙을 작성할 필요없이 학습한 데이터를 갖고 자동으로 스팸메일을 분류할 수가 있다. 들어온 메일은 메시지 규칙 기반 필터가 먼저 적용되고, 메세지 규칙 기반 필터에서 분류되지 않으면 나이브 베이지안 필터에서 분류된다. 실험에서는 제안된 시스템의 성능을 평가하기 위해서 메시지 규칙을 사용한 시스템 및 나이브 베이지만 분류자 시스템과 비교 평가하였다. 또한 임계치를 변경함으로써 제안된 시스템의 성능을 높일 수있도록 하였다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.37-48
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• 2010

In general, an HTTP server sends information in response to requests from clients. Since it does not support active information delivery to clients, it can not efficiently provide the rapidly changing information to clients. Overcoming this shortcoming of the HTTP protocol, the technology known as server push enables the HTTP server to actively provide information to clients without explicit requests from clients. Adobe BlazeDS is a web server supporting the server push technology, helping users to develop web-based push applications. Unfortunately, since the BlaseDS server have no functions of filtering the information to be pushed according to various types of users, there are difficulties in developing push applications handling various situations in a efficient way. In this paper, to support effective development of push applications on BlazeDS we present the methods of adding a message filtering facility to BlazeDS and utilizing it. According to the filtering request of clients, the message filtering facility modifies information to be pushed, sending the modified information to the clients. The extended BlazeDS server with the message filtering facility provides environments to easily develop push services customized for various clients with their own situations.

• Smart Media Journal
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• v.7 no.4
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• pp.24-29
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• 2018

Text analysis technique for natural language processing in deep learning represents words in vector form through word embedding. In this paper, we propose a method of constructing a document vector and classifying it into spam and normal text message, using word embedding and deep learning method. Automatic spacing applied in the preprocessing process ensures that words with similar context are adjacently represented in vector space. Additionally, the intentional word formation errors with non-alphabetic or extraordinary characters are designed to avoid being blocked by spam message filter. Two embedding algorithms, CBOW and skip grams, are used to produce the sentence vector and the performance and the accuracy of deep learning based spam filter model are measured by comparing to those of SVM Light.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.9
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• pp.209-216
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• 2019

Publish-subscribe communication model is popular for various type of distributed applications because of its loosely coupled style connections. Among the various architecture style for publish-subscribe system, peer-to-peer architecture has been used for the mission critical application domain since it provides high scalability and real-timeness. On the other hand, to utilize the bandwidth of given networks, message filtering is frequently used to reduce the number of messages on the system. Even if P2P provides superior scalability, it is hard to apply filtering to the its messaging system because the filtering process should be done on the peer-side in P2P architecture that are usually done on the broker server in conventional pub/sub architecture. In this paper, we propose a hierarchical subscription management structure as well as message forwarding scheme for efficient data dissemination. Our proposed scheme reduces the number of received messages by filter-out un-wanted messages and offloading the message dissemination work to other subscribers to enhance the messaging throughput.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.33-43
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• 2012

Smart phones can be used in parking management to receive important notifications. An infrastructure based from such approach should consider message persistence which is currently supported through push notification systems. However, the broadcast method produces high overhead when sending notifications throughout the clients. This paper uses a filtering method to prevent unnecessary message overheads. The heuristic approach selects the mobile clients with corresponding preference values based on the notification tag values. The simulation result showed that the proposed filtering method was faster in re-establishing connections and had lower message overhead compared to conventional messaging frameworks.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.383-390
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• 2002

본 논문에서는 Peer-to-Peer 환경에서의 협동적 필터링의 필요성에 대해 논의하고, 이를 위한 P2P 컴퓨팅의 구조 설계, Peer Clustering기법, Peer간 메시지의 종류, 그리고 이를 구현한 시스템에 대하여 설명한다.