• The KIPS Transactions:PartC
• /
• 제13C권6호
• /
• pp.733-740
• /
• 2006

Spam Message has been Causing widespread damages on the Internet. One source of the problems is rooted from an anonymously posted message in the bulletin board in Internet communities. This type of the Spam messages tries to advertise products, to harm other's reputation, to deliver religious messages and so on. In this paper we present the Spam message filtering using the Bayesian approach. In order to increase usefulness of the Spam filter in the bulletin board in Internet communities, we made the Spam filter which can divide the Spam message into six categories such as advertisement, pornography, abuse, religion and other. The test conducted against messages posted on the popular web sites.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권8호
• /
• pp.3005-3027
• /
• 2015

Spam has become one of the top threats of micro-blogging networks as the representations of rumor spreading, advertisement abusing and malware distribution. With the increasing popularity of micro-blogging, the problems will exacerbate. Prior detection tools are either designed for specific types of spams or not robust enough. Spammers may escape easily from being detected by adjusting their behaviors. In this paper, we present a novel model to quantitatively evaluate information diffusion in micro-blogging networks. Under this model, we found that spam posts differ wildly from the non-spam ones. First, the propagations of non-spam posts mostly result from their followers, but those of spam posts are mainly from strangers. Second, the non-spam posts relatively last longer than the spam posts. Besides, the non-spam posts always get their first reposts/comments much sooner than the spam posts. With the features defined in our model, we propose an RBF-based approach to detect spams. Different from the previous works, in which the features are extracted from individual profiles or contents, the diffusion features are not determined by any single user but the crowd. Thus, our method is more robust because any single user's behavior changes will not affect the effectiveness. Besides, although the spams vary in types and forms, they're propagated in the same way, so our method is effective for all types of spams. With the real data crawled from the leading micro-blogging services of China, we are able to evaluate the effectiveness of our model. The experiment results show that our model can achieve high accuracy both in precision and recall.

• Journal of the Korea Society of Computer and Information
• /
• 제10권2호
• /
• pp.143-151
• /
• 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 .

• KIPS Transactions on Software and Data Engineering
• /
• 제3권7호
• /
• pp.271-276
• /
• 2014

Short message service(SMS) in a mobile communication environment is a very convenient method. However, it caused a serious side effect of generating spam messages for advertisement. Those who send spam messages distort or deform SMS sentences to avoid the messages being filtered by automatic filtering system. In order to increase the performance of spam filtering system, we need to recover the distorted sentences into normal sentences. This paper proposes a method of normalizing the various types of distorted sentence and extracting keywords through automatic word spacing and compound noun decomposition.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• 제30권11B호
• /
• pp.730-735
• /
• 2005

While the E-mail is a important way of fast communication in these days. it is real that the E-mail is often misused as a commercial advertisement method and creates many social problems. Even though various filtering techniques for blocking spam mails have been developed, reliability of mail systems is decreased by misreading normal mails as spam mails, i.e. false-positive errors. In this paper, the SMBC(Spam Mail Blocking Center) platform employing spam mail recovery method based on privacy information is proposed and designed. The SMBC is designed in frame layer based on spam blocking system of proxy sewer and can be physically implemented in various topology so that flexible development with layered module is possible. Using privacy information makes the proposed SMBC platform minimize processing load and false-positive error rates so that it can improve mail system reliabilities.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• 제18권6A호
• /
• pp.129-137
• /
• 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.

• Journal of Information Management
• /
• 제38권4호
• /
• pp.48-67
• /
• 2007

The economic burden which our society has to take exceeds the benefit that it becomes by the free circulation of information. Problems such as inconvenience or inequality between people can also occur since the regulation task of spam e-mail or SMS is imposed on two organs; the Department of Information and Communication and Free Trade Commission. The dualization of regulation separates related laws, which makes exception according to the $\ulcorner$Law on Information Communication Usage and Information Protection$\lrcorner$ or poses double regulation toward the same case. The spam prevention activity at free hands of information communication network provider such as portal site or mobile communication has many limitations along with comparison and analysis of spam regulations abroad. Therefore, examinations on legal obligation such as service restriction, identification and technical measure to spam prevention is needed. This study focuses on making the scope of spam regulation clear by considering the domestic related laws and the general environment of industry, on enacting law which regulates spam including advertisement and on deducting essential facts in enacting or modifying related laws and thus, deducting the form and contents of spam regulation law which is most decent in our domestic environment.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 한국컴퓨터정보학회 2015년도 제52차 하계학술대회논문집 23권2호
• /
• pp.11-12
• /
• 2015

본 논문에서는 스팸 FAX을 걸러내어 과도한 종이 낭비와 FAX 시스템의 효율성 증진을 위한 필터링 장비를 제안한다. 해당 장비는 실제 FAX 기기와 PSTN망 사이에 위치하여, 데이터 망으로 들어오는 스팸 FAX를 걸러 내고, 사용자는 외부에서 저장장치에 접근하여 출력하고자 하는 FAX 데이터만 선택하여 출력 할 수 있는 장치이다.

• Journal of Advanced Navigation Technology
• /
• 제15권2호
• /
• pp.287-297
• /
• 2011

As electronic mails are being widely used for facility and speedness of information communication, as the amount of spam mails which have malice and advertisement increase and cause lots of social and economic problem. A number of approaches have been proposed to alleviate the impact of spam. These approaches can be categorized into pre-acceptance and post-acceptance methods. Post-acceptance methods include bayesian filters, collaborative filtering and e-mail prioritization which are based on words or sentances. But, spammers are changing those characteristics and sending to avoid filtering system. In the case of Korean, the abnormal usages can be much more than other languages because syllable is composed of chosung, jungsung, and jongsung. Existing formal expressions and learning algorithms have the limits to meet with those changes promptly and efficiently. So, we present an methods for recognizing Korean abnormal language(Koral) to improve accuracy and efficiency of filtering system. The method is based on syllabic than word and Smith-waterman algorithm. Through the experiment on filter keyword and e-mail extracted from mail server, we confirmed that Koral is recognized exactly according to similarity level. The required time and space costs are within the permitted limit.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 한국경영과학회 2004년도 추계학술대회 및 정기총회
• /
• pp.395-398
• /
• 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.