• The Journal of Korean Association of Computer Education
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• v.10 no.3
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• pp.57-66
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• 2007

E-mail system is considered as a most important communication media, which can be used to transmit personal information by internet. But e-mail attack also has been increased by spoofing e-mail sender address. Therefore, this work proposes sender verification faculty for spam mail protection at sender's MTA by using security card for protection forged sender and also for authenticating legal sender. Sender's mail MT A requests security card's code number to sender. Then sender input code number and generate session key after sender verification. Session key is used to encrypt sender's signature and secure message transmission. This work can provide efficient and secure e-mail sender authentication with sender verification and message encryption.

• Journal of the Korea Society of Computer and Information
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• v.10 no.2 s.34
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• pp.143-151
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• 2005

As the internet and I-commerce have been developing. a novel method for marketing is needed. A new advertisement using E-mail is becoming popular, because it has characteristics with low costs and relative efficiency. However. as the spam mails are increasing rapidly, mail service companies and users are deeply damaged in their mind and economically. In this paper, we design a hierarchical spam mail blocking policy through cooperation of all the participants-user, administrator, ISP to cut off the spam mail efficiently and Propose an efficient model to block and manage the spam mails based on the Policy. Also we prove the efficiencies and effectiveness of the proposed model through evaluation process .

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.249-254
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• 2010

We propose an automatic spam filter 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 and select features by chi square statistics. We represent each feature by TF(text frequency), TF-IDF, and binary weight for experiments. After training SVM with the selected features, SVM classifies each e-mail as spam or not. In experiment, the selected features improve the performance of our system and we acquired overall 98.9% of accuracy with TREC05-p1 spam corpus.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.969-971
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• 2010

전자우편(e-mail)은 매우 편리한 통신수단임에도 불구하고 무분별한 광고성 스팸메일(spam mail)의 침입과 타인의 메일을 가로채거나 변조가능성 등의 부작용 및 역기능으로 신뢰성에 문제가 되고 있다. 특히 기존의 스팸 방지 기술인 발송/수신 단계 스팸 방지 기술은 아직까지 스팸을 완벽하게 차단하지 못하고 있다. 따라서 본 논문에서는 기존의 스팸 방지 기술을 이용하여 1단계 차단을 거친 후 사용자 참여를 이용한 검증 시스템을 개발함으로써 스팸 차단 효율을 향상시키고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.70-72
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• 2002

전자우편(E-Mail)은 아주 편리한 통신수단이지만, 무분별한 광고성 스팸메일(Spam-Mail)의 침입과 무단으로 타인의 메일을 가로채거나 변조할 수 있기 때문에 메일의 신뢰성이 문제가 되고 있다. 본 연구에서는 이와 같은 문제를 해결하기 위하여 메일의 제목과 내용의 문자열을 분석하여 자동으로 스팸메일을 구분할 뿐만 아니라 보안도구인PGP(Pretty Good Privacy)를 이용하여 메일을 암호화하고 인증하여 근본적으로 스팸메일을차단하는 시스템을 개발한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2881-2894
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• 2018

Cyber attacks are increasing continuously. On average about one million malicious codes appear every day, and attacks are expanding gradually to IT convergence services (e.g. vehicles and television) and social infrastructure (nuclear energy, power, water, etc.), as well as cyberspace. Analysis of large-scale cyber incidents has revealed that most attacks are started by PCs infected with malicious code. This paper proposes a method of detecting an attack IP automatically by analyzing the characteristics of the e-mail transfer path, which cannot be manipulated by the attacker. In particular, we developed a system based on the proposed model, and operated it for more than four months, and then detected 1,750,000 attack IPs by analyzing 22,570,000 spam e-mails in a commercial environment. A detected attack IP can be used to remove spam e-mails by linking it with the cyber removal system, or to block spam e-mails by linking it with the RBL(Real-time Blocking List) system. In addition, the developed system is expected to play a positive role in preventing cyber attacks, as it can detect a large number of attack IPs when linked with the portal site.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.32-37
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• 2009

Recently, electronic mail(E-mail) is the most popular communication manner in our society. In such conventional environments, spam increasingly congested in Internet. In this paper, Chinese spam could be effectively detected using text and image features. Using text features, keywords and reference templates in Chinese mails are automatically selected using genetic algorithm(GA). In addition, spam containing a promotion image is also filtered out by detecting the text characters in images. Some experimental results are given to show the effectiveness of our proposed method.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1092-1100
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• 2004

An E-mails have regarded as one of the most popular methods for exchanging information because of easy usage and low cost. Meanwhile, exponentially growing unwanted mails in user's mailbox have been raised as main problem. Recognizing this issue, Korean government established a law in order to prevent e-mail abuse. In this paper we suggest hybrid spam mail filtering system using weighted Bayesian classifier which is extended from naive Bayesian classifier by adding the concept of preprocessing and intelligent agents. This system can classify spam mails automatically by using training data without manual definition of message rules. Particularly, we improved filtering efficiency by imposing weight on some character by feature extraction from spam mails. Finally, we show efficiency comparison among four cases - naive Bayesian, weighting on e-mail header, weighting on HTML tags, weighting on hyperlinks and combining all of four cases. As compared with naive Bayesian classifier, the proposed system obtained 5.7% decreased precision, while the recall and F-measure of this system increased by 33.3% and 31.2%, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.2
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• pp.348-354
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• 2005

These days, Electronic mail is being used in everyday's life. And on the other hand, we are facing spam mails' problems. Spam mails are widely used by means of marketing in e-Commerce. To block these spam mails, we are using filtering or pricing systems. But these solutions are raising other problems such as impediment in reception or availability caused by false positive or payment resistance. To solve these problems, we propose an Indirect Model on Electronic Mail Control System(IMEMCS) which controls an unsolicited electronic mail and prevents an useful electronic mail from discarding. We design and implement the IMEMCS to enhance the usefulness and the availability. Being tested the IMEMCS to verify the usability and the efficiency, it gave us a very successful result.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.847-857
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• 2019

Recently, various cyber threats such as Ransomware and APT attack are increasing by e-mail. The characteristic of such an attack is that it is important to take administrative measures by improving personal perception of security because it bypasses technological measures such as past pattern-based detection The purpose of this study is to investigate the human factors of employees who are vulnerable to spam mail attacks through field experiments and to establish future improvement plans. As a result of sending 7times spam mails to employees of a company and analyzing training report, It was confirmed that factors such as the number of training and the recipient 's gender, age, and workplace were related to the reading rate. Based on the results of this analysis, we suggest ways to improve the training and to improve the ability of each organization to carry out effective simulation training and improve the ability to respond to spam mail by awareness improvement.