• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.51-63
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• 2003

This study designs and implements a new approach to the classification of e-mail requests from customer based on machine learning techniques. The work on building an electronic mall classifier can be cast into the framework of text classification, since an e-mail is a viewed as a document, and judgement of interest is viewed as a class level given to the e-mail document. It is also implemented an e-mall based automated response system that integrate with Call Center in a practical use.

• The Journal of Korean Association of Computer Education
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• v.12 no.2
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• pp.61-75
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• 2009

Modern day people can easily use an e-mail client for general communication, because of using Internet and cellular phone. The mail client for the purpose of private and business affair, advertisement, news searching, and business letter is widely used and has side effects. People could send an important document via an electronic mail client. It is important to support an e-mail client intelligent. We think that many kinds of techniques of natural language processing must be provided in the client with human's emotion. We consider to design a new mail client with six kinds of senders' emotional information; delight, angry, sad feeling and message to express, manner of talking, a discomfort index etc. Before sending an e-mail, we suggest a user to correct a bad word because we do not want to feel bad to a receiver. We present a proper process of sending/receiving for users with a new designed e-mail clients.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.1
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• pp.3-11
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• 2009

Forward secrecy in an e-mail system means that the compromising of the long-term secret keys of the mail users and mail servers does not affect the confidentiality of the previous e-mail messages. Previous forward-secure e-mail protocols used the certified public keys of the users and thus needed PKI(Public Key Infrastructure). In this paper, we propose a password-based authenticated e-mail protocol providing forward secrecy. The proposed protocol does not require certified public keys and is sufficiently efficient to be executed on resource-restricted mobile devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.592-595
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• 2009

We propose an automatic spam mail classifier for e-mail data using Support Vector Machines (SVM). We use a lexical form of a word and its part of speech (POS) tags as features. We select useful features with ${\chi}^2$ statistics and represent each feature using text frequency (TF) and inversed document frequency (IDF) values for each feature. After training SVM with the features, SVM classifies each email as spam mail or not. In experiment, we acquired 82.7% of accuracy with e-mail data collected from a web mail system.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.126-128
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• 2004

As e-mail is becoming increasingly important in every day life activity, mail users spend more and more time organizing and classifying the e-mails they receive into folder. Many existing recommendation systems or text classification are mostly focused on recommending the products for the commercial purposes or web documents. So this study aims to apply these application to e-mail more necessary to users. This paper suggests a dynamic recommendation agent system based on Rule Filtering Component recommending the relevant category to enable users directly to manage the optimum classification when a new e-mail is received as the effective method for E-Mail Management. Moreover we try to improve the accuracy as eliminating the limits of misclassification that can be key in classifying e-mails by category. While the existing Bayesian Learning Algorithm mostly uses the fixed threshold, we prove to improve the satisfaction of users as increasing the accuracy by changing the fixed threshold to the dynamic threshold. We designed main modules by rule filtering component for enhanced scalability and reusability of our system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.6
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• pp.45-54
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• 2011

Corporations use e-mail as their primary method for internal communication and business processes. By their nature, the e-mails are in general used for major business processes that contain large amounts of business information. When there is a critical event, such as Technology leakage, an e-mail message can become important evidence. However, as there is a high likelihood that a suspect will intentionally erase an e-mail message, the ability to recover deleted e-mail is very important. This pater analyzes the deleted e-mail item structure in files of various e-mail clients, and explains the possibility and methods of recovery.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.5
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• pp.125-131
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• 2000

In this paper, we proposed conditional access algorithm for data confidential using smart card. This algorithm is constructed smart card and E-mail gateway for restricting of user's illegal confidential data transmission. After processing of certification procedure in smart card, each E-mail forwarded to E-mail gateway(EG). The EG selects outgoing E-mail and it is sent to fire-wall E-mail processing program, it is checked attached file in transmission mail and if it is attached file, it writes to database. This time, it can be used evidence data about user's illegal confidential data transmission, because of using registered content and smart card certification data in database. in addition to, we can get psychologically effect of prevention to send illegally, and this system can prevent spam mail in EG, also.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.465-468
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• 2003

E-mail, one of the oldest services in internet becomes very important and essential way to communicate with development of internet. Due to E-mail has a property which is not complete for security, sometimes it is used for purpose of commercial or bad things, therefore it becomes the latest problem to keep off a Spam-mail and commercial advertising E-mail, many ways to keep off were perposed for it. In this paper, I explained how to sort and keep off these Spam-mail and commercial advertising E-mail with three way, prevention by server level, prevention by construction of network level, prevention by client level. we designed a prevention system for Spam-mail and implemented it by Visual Basic.

• The KIPS Transactions:PartC
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• v.12C no.5 s.101
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• pp.765-772
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• 2005

In this paper, we propose E-mail sending-server authorization method using a distance estimation algorithm between W addresses to check whether the E-mail sending server is registered in the domain of mail sending server or belongs to the domain for filtering spam mail. This method utilizes the distance between the IP address of sending server and IP addresses registered in the DNS to figure out that the E-mail sending server exists in the domain to filter spam mail. The experimental result of applying the proposed algorithm to sample E-mails gathered in a large size laboratory says that 88 percents of legitimate E-mails and only 10 percents of spam mails are sent by servers in the same domains of senders. The algorithm may be effectively used to block spam mails sent by servers outside of the domains of mail senders. It may be also hired as a temporary E-mail protecting system until the standard E-mail authorization protocol is fully deployed.

• Journal of Digital Contents Society
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• v.3 no.1
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• pp.123-130
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• 2002

This mailing list system have nothing ODBC setting information when access database, intercept to random using because sending E-mail and for only mailing list. Also this system is support special function which is sending to all member of special member to E-mail address.