• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.337-341
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• 2006

Spam email is an electronic mail sent to a large number of netizen who do not want it. Criminals have been to take an advantage of this tool easily through harmful activities such as phishing. Recently the spam mail containing commercial information is broadly accepted as an illegal commitment to endangering the network. According some report, it could cause real damages. For the better policy on controlling spam mail we need new Efficient Countermeasure. Several laws have been enacted in Korea for controlling spam mail. The most important acts is the Using and Protecting Communication Act. Main targets of this law is virus spreading, computer hacking, cyber pornography, intellectual property breaching, private or public information abusing and cyber terrorism. But the Using and Protecting Communication Act is insufficient to control spam mail. For the better policy on controlling spam mail we need new Efficient Countermeasure. Therefore, this research wishes to present way to control for efficient spam mail through enactment of conversion, induction of clash action system degree, special law of national regulation form for spam mail.

• 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 Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.211-214
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• 2003

The problem of unsolicited e-mail has been increasing for years, so many researchers has studied about spam filtering and prevention. In this article, we proposed a faster spam prevention algorithm based on userID instead of full email address. But there are 2% of false-negatives by userID. In this case, we store those domains in a DB and filter them out. The proposed algorithm requires small DB and 3.7 times faster than the e-mail address comparison algorithm. We implemented this algorithm using SPRSW(Spam Prevention using Replay Secrete Words) to register userID automatically in userID DB.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.129-137
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• 2008

As the use of the internet increases, the distribution of spam mail has also vastly increased. The email's main use was for the exchange of information, however, currently it is being more frequently used for advertisement and malware distribution. This is a serious problem because it consumes a large amount of the limited internet resources. Furthermore, an extensive amount of computer, network and human resources are consumed to prevent it. As a result much research is being done to prevent and filter spam. Currently, research is being done on readable sentences which do not use proper grammar. This type of spam can not be classified by previous vocabulary analysis or document classification methods. This paper proposes a method to filter spam by using the subject of the mail and N-GRAM for indexing and Bayesian, SVM algorithms for classification.

• Annual Conference of KIPS
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• 2009.04a
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• pp.47-49
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• 2009

본 연구에서는 이메일 사용자별로 제공받은 사용자 선호 정보 대상으로 EM 클러스터링을 수행하여 사용자 클러스터를 만든 후, 사용자 클러스터들의 이메일 반응 분포를 계산함으로써 사용자 취향에 따라 동일한 이메일에 대해서도 서로 다른 반응을 가질 수 있다는 사실을 확인하려고 한다. 그 결과로부터 현재의 내용기반 방식과는 다르게 사용자 선호도를 고려한 스팸 메일 필터 구축 방법을 제안한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.395-398
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• 2004

It is effective and desirable for a proper customer relational management(CRM) to send an email of product sales' advertisement bills for the prospective customers rather than to send spam mails for non specific customers. This study identifies the prospective customers with high probability to buy the specific products using Artificial Neural Network(ANN) and Induction Rule(IR) technique. We suggest an integrated model, IRANN of ANN and IR of decision tree program C5.0 and, also compare and analyze the accuracy of ANN, IR, and IRANN each other.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.3
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• pp.45-53
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• 2008

As internet is wide spread, the number of internet service provider is increased. Internet service providers gather the personnel information with inhabitants registration identification number for the user management and the adult authentication. The personnel information is spreaded thorough the Internet by the system hacking, mismanagement and malicious resale. And the personnel information is used for spam email, phishing scams, etc. by malicious others. So the Ministry of Information and Communication Republic of Korea developments I-PIN system of the personnel identification. But, I-PIN has some problem the guideline for it and the method of 5 I-PIN services. In this paper, we analyze the problem about the guideline for I-PIN and the method of 5 I-PIN services. And we propose the countermeasure about the problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.79-81
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• 2014

People increasingly rely on sources of information from E-commerce reviews. Product reviews is an important determinant of potential customers' buying choices. They are also utilized by product manufacturers to find problems of their products and to collect competitive intelligence information about their competitors. Unfortunately, it is well-known that many online product reviews are not made by genuine costumers of products. Reviewers could write some undeserving positive reviews to promote or fake negative reviews to defame some certain product, and we call them fake product reviews. Fake product review detection makes an attempt to detect fake reviews and removes them to restore the truthful ones for readers. To the best of our knowledge, there is still less published study on this problem. In this paper, we make a survey and an attempt to give a brief overview on fake product review detection. The related work of fake product review detection is presented including web spam and spam email. Then some methods to detect fake reviews are introduced and summarized. The trend of fake product review detection is concluded finally.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.325-330
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• 2008

전자우편(email)은 인터넷의 급격한 보급으로 인하여 사용자들이 많이 사용하게 된 통신 메커니즘이다. 그러나 이러한 전자우편의 대중성을 상업적인 목적으로 이용한 스팸메일의 출현으로, 사용자들은 정신적 피해, 업무 방해, 메일서버의 트래픽 과부화로 인한 유지보수 비용 증가와 같은 문제점들을 접하게 되었다. 특히, 최근에는 광고성 이미지들을 첨부하는 등의 새로운 기법이 적용된 스팸메일의 발생으로 기존의 텍스트 기반의 스팸메일 필터링 기법들이 무의미하게 되었으며, 따라서 그로 인한 피해가 증가하는 추세이다. 이러한 이미지 기반의 스팸메일들의 필터링을 위하여 Support Vector Machine과 같은 기계학습 기법을 이용한 기법들이 제안되고 있으나, 여전히 그 성능은 만족스럽지 못하다. 본 논문은 전자우편으로부터 텍스트 및 시각적 의미를 분석하여 전자우편 온톨로지에 기술하고 스팸메일 판단을 위한 의미추론규칙을 적용함으로써 광고성 이미지가 첨부되어 있는 스팸메일을 효과적으로 필터링 하기 위한 시스템을 제안한다.

• Convergence Security Journal
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• v.8 no.4
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• pp.183-189
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• 2008

E-mail's role has been increased due to its merit which is sending demanded information in real-time anywhere, anytime. However, Today's E-mail security threats have being changed intelligently to attack against the specific agency. The threat is a limit to respond. Therefore precise definition and development of security technology is needed to analyze changing environment and technologies of e-mail so that remove fundamental security threat. we proposed Next Generation E-mail System Security Structure and the Next Generation fusion System using authentication As a result, in this study, we development of Next Generation E-mail System Security Structure. This system can protect E-mail user from social engineering hacking technique, spam, virus, malicious code and fabrication.