• Title, Summary, Keyword: Message Filtering

Search Result 68, Processing Time 0.028 seconds

Quantized System Modeling and Performance Evaluation

  • Lee, Jong-Sik
    • Proceedings of the Korea Society for Simulation Conference
    • /
    • /
    • pp.87-93
    • /
    • 2003
  • This paper reviews existing message-filtering schemes and presents a quantization-based message-filtering approach which reduces state update transmission and message traffic requirement. For a realization of the approach we develop a DEVS-based integrator which provides behavior and characteristic of the quantization-based approach. We take a spaceship and space traveling system as a case study to evaluate performance of the quantization-based approach. The approach is validated by DEVSJAVA simulations of the case study. The comparison of message traffic requirement between DTSS (Discrete Time System Specification)-based and DEVS-based systems apparently shows system performance improvement through the quantization-based approach.

  • PDF

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
    • /
    • v.23 no.1
    • /
    • pp.57-64
    • /
    • 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.

A Technique of Statistical Message Filtering for Blocking Spam Message (통계적 기법을 이용한 스팸메시지 필터링 기법)

  • Kim, Seongyoon;Cha, Taesoo;Park, Jeawon;Choi, Jaehyun;Lee, Namyong
    • Journal of Information Technology Services
    • /
    • v.13 no.3
    • /
    • pp.299-308
    • /
    • 2014
  • Due to indiscriminately received spam messages on information society, spam messages cause damages not only to person but also to our community. Nowadays a lot of spam filtering techniques, such as blocking characters, are studied actively. Most of these studies are content-based spam filtering technologies through machine learning.. Because of a spam message transmission techniques are being developed, spammers have to send spam messages using term spamming techniques. Spam messages tend to include number of nouns, using repeated words and inserting special characters between words in a sentence. In this paper, considering three features, SPSS statistical program were used in parameterization and we derive the equation. And then, based on this equation we measured the performance of classification of spam messages. The study compared with previous studies FP-rate in terms of further minimizing the cost of product was confirmed to show an excellent performance.

Spam Message Filtering with Bayesian Approach for Internet Communities (베이지안을 이용한 인터넷 커뮤니티 상의 유해 메시지 차단 기법)

  • Kim, Bum-Bae;Choi, Hyoung-Kee
    • The KIPS Transactions:PartC
    • /
    • v.13C no.6
    • /
    • 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.

Implementation of A Mobile Application for Spam SMS Filtering Using Set-Based POI Search Algorithm (집합 기반 POI 검색 알고리즘을 활용한 스팸 메시지 판별 모바일 앱 구현)

  • Ahn, Hye-yeong;Cho, Wan-zee;Lee, Jong-woo
    • Journal of Digital Contents Society
    • /
    • v.16 no.5
    • /
    • pp.815-822
    • /
    • 2015
  • By the growing of SMS phishing victims, applications for processing spam messages are being released in succession. However most spam messages that cleverly modified the content like separating the consonants and vowels are fail to be filtered. In this paper, we implemented an application 'AntiSpam' which is able to identify spam strings in the text message to solve this problem. 'AntiSpam' searches spam strings in the text message by using set-based POI search algorithm, and then calculate the possibility of whether it is spam or not in accordance with the search results. In addition, it catches skillfully disguised spam messages in order to avoid missing the spam filtering. Users, who received a message, can check the result in spam message possibility decision result and the contents of the message and they can choose how to handling the message.

A Normalization Method of Distorted Korean SMS Sentences for Spam Message Filtering (스팸 문자 필터링을 위한 변형된 한글 SMS 문장의 정규화 기법)

  • Kang, Seung-Shik
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.3 no.7
    • /
    • 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.

Message Filtering for Effective Push Service in BlazeDS (BlazeDS에서의 효과적인 Push 서비스를 위한 메시지 필터링)

  • Lee, Hong-Chang;Kim, Bo-Hyeon;Oh, Hoon;Lee, Myung-Joon
    • Journal of the Korea Society of Computer and Information
    • /
    • v.15 no.6
    • /
    • pp.37-48
    • /
    • 2010
  • In general, an HTTP server sends information in response to requests from clients. Since it does not support active information delivery to clients, it can not efficiently provide the rapidly changing information to clients. Overcoming this shortcoming of the HTTP protocol, the technology known as server push enables the HTTP server to actively provide information to clients without explicit requests from clients. Adobe BlazeDS is a web server supporting the server push technology, helping users to develop web-based push applications. Unfortunately, since the BlaseDS server have no functions of filtering the information to be pushed according to various types of users, there are difficulties in developing push applications handling various situations in a efficient way. In this paper, to support effective development of push applications on BlazeDS we present the methods of adding a message filtering facility to BlazeDS and utilizing it. According to the filtering request of clients, the message filtering facility modifies information to be pushed, sending the modified information to the clients. The extended BlazeDS server with the message filtering facility provides environments to easily develop push services customized for various clients with their own situations.

Event Message Processing in Virtual Environment Using the Extended Area of Interest Model (확장 관심영역 모델을 이용한 가상공간 이벤트 메시지 처리기법)

  • Yu Seok-Jong
    • Journal of Korea Multimedia Society
    • /
    • v.9 no.4
    • /
    • pp.482-489
    • /
    • 2006
  • How to process event message traffic efficiently is important to collaboration among multiple distributed users, and it is a key research issue in the virtual environment fields. AOI model is one of solutions for this problem; which reduces message traffic by restricting event propagation region into an area in which a user is interested. However, in previous systems, it is difficult to adapt to dynamic environment where changes in the number and movement of participants are frequent. This paper proposes a new event management model, called extended AOI model, which is helpful to improve flexibility and efficiency of traditional models, and is able to extend its functions by introducing multi-layered regions. The proposed model can be applied to DVE and MMORPG as an event filtering model.

  • PDF

Improved Spam Filter via Handling of Text Embedded Image E-mail

  • Youn, Seongwook;Cho, Hyun-Chong
    • Journal of Electrical Engineering and Technology
    • /
    • v.10 no.1
    • /
    • pp.401-407
    • /
    • 2015
  • The increase of image spam, a kind of spam in which the text message is embedded into attached image to defeat spam filtering technique, is a major problem of the current e-mail system. For nearly a decade, content based filtering using text classification or machine learning has been a major trend of anti-spam filtering system. Recently, spammers try to defeat anti-spam filter by many techniques. Text embedding into attached image is one of them. We proposed an ontology spam filters. However, the proposed system handles only text e-mail and the percentage of attached images is increasing sharply. The contribution of the paper is that we add image e-mail handling capability into the anti-spam filtering system keeping the advantages of the previous text based spam e-mail filtering system. Also, the proposed system gives a low false negative value, which means that user's valuable e-mail is rarely regarded as a spam e-mail.

Hierarchical Message Forwarding Scheme for Efficient Data Distribution in P2P Messaging System (P2P 출판-구독 메시징 시스템에서 효율적인 정보 전파를 위한 계층적 메시지 전송 기법)

  • Jung, Jin Sun;Oh, Sangyoon
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.8 no.9
    • /
    • pp.209-216
    • /
    • 2019
  • Publish-subscribe communication model is popular for various type of distributed applications because of its loosely coupled style connections. Among the various architecture style for publish-subscribe system, peer-to-peer architecture has been used for the mission critical application domain since it provides high scalability and real-timeness. On the other hand, to utilize the bandwidth of given networks, message filtering is frequently used to reduce the number of messages on the system. Even if P2P provides superior scalability, it is hard to apply filtering to the its messaging system because the filtering process should be done on the peer-side in P2P architecture that are usually done on the broker server in conventional pub/sub architecture. In this paper, we propose a hierarchical subscription management structure as well as message forwarding scheme for efficient data dissemination. Our proposed scheme reduces the number of received messages by filter-out un-wanted messages and offloading the message dissemination work to other subscribers to enhance the messaging throughput.