To Recognize and Analyze Spam Domains from Spam Emails by Data Mining

被引:0
|
作者
Patel, Kavita [1 ]
Dubey, Sanjay Kumar [1 ]
机构
[1] Amity Univ Uttar Pradesh, Dept Comp Sci & Engn, Sec 125, Noida, India
来源
PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT | 2016年
关键词
Spam Domains; Malicious email; Spammer Blocking and Detection; Data Mining;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Spam emails are unwanted messages sent over the internet with intend to harm users. Spam analyzers, Internet user and anti-spam community need a technique for identifying whether the email messages are safe or potentially hostile. To send malicious mails spam domains are used by spammer (i.e. criminal). Spam domains are those domains which are used to advertise false services and products, such as luxury goods, pirated software's and fake offers. In last some years the analysis on spam domains has enhanced. To recognize the usage, consequences and benefit of spam domains, a systematic literature review has been conducted. The review included various publications from 2006 to 2015 as a standard study. Based on search techniques considered, 83 research papers were recognized out of which 19 were identified as relevant papers. This paper reflects the various researches advanced related to spam domain using data mining approach. It will also help the researchers to figure out the present and future context of research in identifying spam domain using data mining techniques.
引用
收藏
页码:4030 / 4035
页数:6
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