• Title/Summary/Keyword: 스팸 유형

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Spamtester using Spam Categorization in SIP-based VoIP Networks (VoIP 환경에서 스팸 유형 분석 및 Spamtester 구현)

  • Choi, Jae-Sic;Choi, Jae-Duck;Jung, Sou-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.10
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    • pp.99-107
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    • 2008
  • In this paper, we analyse the vulnerability of spam attacks and develop the Spamtester to confirm these spam attacks in SIP-based VoIP networks. Although there are several spam attacks on VoIP networks, the detail information for the SPIT is not enough to confirm the procedure and the result of spam attacks on VoIP networks. Specially, the spam attacks through abnormal process are difficult to trace the sender of spam. Also, it is not easy to impose the legal restriction to the spammer because of lack of information for the spam attack. Therefore, on VoIP networks, the possible scenario and detail procedure for VoIP spam is needed to be confirmed. This paper designes and implementes the spamtester, which is helpful to protect VoIP networks from the spam attacks.

A Development of the SMBC platform for supporting advanced performance of blocking spam-mails (향상된 차단 성능 지원을 위한 SMBC 플랫폼 개발)

  • Sso, Sang-Jin;Jin, Hyun-Joon;Park, Noh-Kyung
    • Journal of Internet Computing and Services
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    • v.8 no.2
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    • pp.89-94
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    • 2007
  • Even though lots of research have been doing about spam mail blocking technologies and their systems, the emergence of spam mails of new types causes the spam mail filtering rate to decrease and the occurrences of false-positive mails to increase. Therefore, existing spam mail filtering algorithms suffer from increasing load to be processed and decreasing reliability in spam mail blocking systems due to the shortage of newly developed algorithms and their research. This paper presents the Fit-FA Finder which is able to select appropriate algorithms to be applied and their procedures, and the development of the SMBC platform. The Fit-FA Finder is developed and implemented in the SMBC platform in which recovering process based on privacy information is employed for false-positive mails

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Combating SIP Spam By Technical Means (SIP 기반 VoIP 환경에서 스팸 문제점과 대응 기술에 대한 고찰)

  • Choi Sang-Myung;Kim Eun-Sook;Kang Shin-Gak;Youm Heung-Youl
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2006.06a
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    • pp.471-474
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    • 2006
  • 기존 전화에 비해 저렴한 가격으로 서비스의 제공이 가능한 VoIP 서비스의 증가는 SIP 스팸이라는 역기능을 낳았다. SIP은 표준 VoIP 프로토콜로 현재 SIP 기반의 VoIP 서비스의 개발이 활발하게 진행 중에 있다. 이에 본 논문은 SIP 기반 VoIP 환경에서의 스팸 유형을 살펴본 후 이를 해결하기 위한 스팸 대응 기술로 기존의 이메일 스팸 대응 기술을 비교, 분석한다. 또한 이메일 스팸 대응 기술을 기반으로 제안된 현재 SIP 스팸 대응 기술을 알아보고 앞서 분석한 대응 기술의 SIP 기반 VoIP 환경에서의 적용 가능 여부를 생각하여 가장 적합한 스팸 대응 기술을 제시한다.

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Spam Message Filtering for Internet Communities using Collection and Frequency Analysis (수집과 빈도 분석을 이용한 인터넷 게시판의 스팸 메시지 차단 방법)

  • Kim, Tae-Hee;Kang, Moon-Seol
    • The KIPS Transactions:PartC
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    • v.18C no.2
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    • pp.61-70
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    • 2011
  • Even though internet community is becoming the basic communication tool with rapidly changing internet environment, its damage is on the rise due to increasing spam messages of unspecified individuals. Currently, various methods to block spam mails, but studies on block spam messages from being automatically posted in community are still insufficient. This study suggested methods to block spam messages in internet community by collecting spam messages posted in internet community to analyze characteristics and frequencies of the messages and create block regulations. It collects spam messages of all messages saved in database of internet community, analyze the collected messages to create normalized rules that can define spam messages, and inspect spam messages among posted messages by using the regulations to block them. The suggested method has a structure that can block various types of spam messages by using information of spam messages collected and flexibly deal with changing spam message types.

Implementation of a Spam Message Filtering System using Sentence Similarity Measurements (문장유사도 측정 기법을 통한 스팸 필터링 시스템 구현)

  • Ou, SooBin;Lee, Jongwoo
    • KIISE Transactions on Computing Practices
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    • v.23 no.1
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    • pp.57-64
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    • 2017
  • Short message service (SMS) is one of the most important communication methods for people who use mobile phones. However, illegal advertising spam messages exploit people because they can be used without the need for friend registration. Recently, spam message filtering systems that use machine learning have been developed, but they have some disadvantages such as requiring many calculations. In this paper, we implemented a spam message filtering system using the set-based POI search algorithm and sentence similarity without servers. This algorithm can judge whether the input query is a spam message or not using only letter composition without any server computing. Therefore, we can filter the spam message although the input text message has been intentionally modified. We added a specific preprocessing option which aims to enable spam filtering. Based on the experimental results, we observe that our spam message filtering system shows better performance than the original set-based POI search algorithm. We evaluate the proposed system through extensive simulation. According to the simulation results, the proposed system can filter the text message and show high accuracy performance against the text message which cannot be filtered by the 3 major telecom companies.

Development of A Recovery-algorithm of False-Positive Mail based on the Property of the Privacy (Privacy 속성 기반의 오인된 메일 복구 알고리즘 개발)

  • Seo, Sang-Jjin;Park, Noh-Kyung;Jin, Hyun-Joon
    • Journal of IKEEE
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    • v.9 no.2 s.17
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    • pp.108-114
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    • 2005
  • While E-mail has become an important way of communications in IT societies, it creates various social problems due to increase of spam mails. Even though many organizations and corperations have been doing researches to develop spam mail blocking technologies, more cost and system complexities are required because of varieties of blocking technologies. In case of adopting spam blocking technologies, system reliability largely relies on the False-positive error rate with the order of employing spam blocking filters. In this paper, a False-positive mail recovery technique based on privacy information is proposed and implemented in order to improve the reliability of spam locking filters. Through the implemented prototype, recovery procedure for False-positive mails is verified and the results are summarized and analyzed.

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The Suggestion of a New Control Method for SPAM Mail Prevention Solution (스팸 메일 차단솔루션의 새로운 제어 방식 제안)

  • 김민홍;두창호
    • Journal of the Korea Computer Industry Society
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    • v.5 no.4
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    • pp.453-460
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    • 2004
  • SPAM mails become a serious social problem all of the world and the products for SPAM prevention are coming to the market. This study classifies the existing SPAM prevention solutions according to the patterns to be set up and the judging SPAM methods, and analyses the merits and demerits of them. This study also draws problems of the existing SPAM Prevention solutions and suggests a new URL Prefetch method, a new filtering method which have been out of use. And it draws synergistic effects of SPAM prevention by this new method and suggests SPAM Prevention solution by HTML Pattern method

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A Re-configuration Scheme for Social Network Based Large-scale SMS Spam (소셜 네트워크 기반 대량의 SMS 스팸 데이터 재구성 기법)

  • Jeong, Sihyun;Noh, Giseop;Oh, Hayoung;Kim, Chong-Kwon
    • Journal of KIISE
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    • v.42 no.6
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    • pp.801-806
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    • 2015
  • The Short Message Service (SMS) is one of the most popular communication tools in the world. As the cost of SMS decreases, SMS spam has been growing largely. Even though there are many existing studies on SMS spam detection, researchers commonly have limitation collecting users' private SMS contents. They need to gather the information related to social network as well as personal SMS due to the intelligent spammers being aware of the social networks. Therefore, this paper proposes the Social network Building Scheme for SMS spam detection (SBSS) algorithm that builds synthetic social network dataset realistically, without the collection of private information. Also, we analyze and categorize the attack types of SMS spam to build more complete and realistic social network dataset including SMS spam.

Studying on Expansion of Realtime Blocking List Conception for Spam E-mail Filtering (스팸 메일 차단을 위한 RBL개념의 확장에 관한 연구)

  • Kim, Jong-Min;Kim, Hion-Gun;Kim, Bong-Gi
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.10
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    • pp.1808-1814
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    • 2008
  • In addition to RBL function, which is used to applying for spam e-mail filtering, as an effective way to deal with the recently widespread spam types, this paper proposes how to extract URL that was comprised in the original e-mail, apply it to RBL, and expand it. The BotNet, which is used to using for sending spam mails these days, has a problem that it is not able to solve with the distributed addresses of sent mails in spam e-mails. In general, as these spam e-mails are sent from the infected Zombi PC of individual user, the sent address itself is not efficient and is meaningless to use in RBL. As an effective way to filter spam e-mail sent by BotNet, this paper analyzes URLs that contained in the original spam e-mail and proposes how to effectively improve filter rate, based on the distribution data of URL site tempting users. This paper proposes the sending mechanism of spam e-mails from BotNet and the methods to realize those types of spam e-mails. In order to gather analyzable spam e-mails, this paper also carries out an experiment by configuring trap system of spam e-mail. By analyzing spam e-mails, which have been received during the certain period of experiment, this paper shows that the expanded RBL method, using URLs that contained in spam e-mails, is effective way to improve the filter distribution of spam e-mail.

A design of the SMBC Platform using the Fit FA-Finder (Fit-FA Finder를 이용한 SMBC 플랫폼 설계)

  • Park, Nho-Kyung;Han, Sung-Ho;Seo, Sang-Jin;Jin, Hyun-Joon
    • Journal of IKEEE
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    • v.10 no.1 s.18
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    • pp.49-54
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    • 2006
  • Recently, e-mail has become an important way of communications in IT societies, but it creates various social problems due to increase of spam mails. Even though many organizations and cooperation have been trying researches to develop spam mail blocking technologies, a lot of cost and system complexities are required because of varieties of spam blocking technologies. In this paper, we designed of the SMBC(Spam Mail Blocking Center) using the Fit FA(Filtering Algorithm) Finder. Fit-FA Finder that search and applises spam mail filtering algorithm of the most suitable confrontation according to type of spam mail. The system of spam mail filtering is decided performance of the system by procedure that spam filter is used. Go through designed Fit-FA Finder and reduced unnecessary filtering process and processing time and load than appointment order filter application way of existent spam mail interception system.

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