Title :
Analysis on the Characteristics of URL Spam
Author :
Zhongtao, Wang ; Xin, Peng ; Yuling, Wang ; Yaohua, Luo ; Li, Huang ; Biao, Cai
Author_Institution :
Internet & Educ. Technol. Center, Chengdu Univ. of Technol., Chengdu, China
Abstract :
E-mail is used by hundreds of millions of users every day because it constitutes a reliable, fast, and free media of communication. Nevertheless, huge amounts of spam are being generated and waste significant internet resources, as well as users´ time. Spammer send advertised URL addresses at a massive scale. However, the characteristics of URL addresses through spam have not been studied extensively. In this paper, the characteristics analysis of URL addresses disseminated through spam based on statistical analysis approach is investigated. These observations can be valuable for the configuration of spam filters and in order to obtain the higher classification precision of E-mail filter.
Keywords :
pattern classification; security of data; statistical analysis; unsolicited e-mail; URL address; URL spam characteristics; classification precision; e-mail filter; electronic mail; spam filters; spammer; statistical analysis approach; Databases; Educational institutions; Filtering; HTML; Postal services; Unsolicited electronic mail; URL; characterization analysis; spam;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.164
