Spam Message Filtering for Internet Communities using Collection and Frequency Analysis


The KIPS Transactions:PartC, Vol. 18, No. 2, pp. 61-70, Apr. 2011
10.3745/KIPSTC.2011.18.2.61,   PDF Download:

Abstract

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.


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Cite this article
[IEEE Style]
T. H. Kim and M. S. Kang, "Spam Message Filtering for Internet Communities using Collection and Frequency Analysis," The KIPS Transactions:PartC, vol. 18, no. 2, pp. 61-70, 2011. DOI: 10.3745/KIPSTC.2011.18.2.61.

[ACM Style]
Tae Hee Kim and Moon Seol Kang. 2011. Spam Message Filtering for Internet Communities using Collection and Frequency Analysis. The KIPS Transactions:PartC, 18, 2, (2011), 61-70. DOI: 10.3745/KIPSTC.2011.18.2.61.