Internet technologies in depth. the technique of spam recognition based on header investigating

A. Adamov
{"title":"Internet technologies in depth. the technique of spam recognition based on header investigating","authors":"A. Adamov","doi":"10.1109/ICAICT.2011.6111033","DOIUrl":null,"url":null,"abstract":"E-mail is most effective business and personal communication tool. The popularity, openness and wide availability of this Internet service makes it attractive for advertising of products and services by sending unsolicited e-mails (Spam). The goal of paper is to offer a comprehensive and usable technique to recognize spam that helps to detect and protect users from junk email, fraudulent e-mail threats and viruses. While widespread methods are complex and expensive, proposed technique is based on header investigating without additional tools and hard processing.","PeriodicalId":376977,"journal":{"name":"2011 5th International Conference on Application of Information and Communication Technologies (AICT)","volume":"114 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 5th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2011.6111033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

E-mail is most effective business and personal communication tool. The popularity, openness and wide availability of this Internet service makes it attractive for advertising of products and services by sending unsolicited e-mails (Spam). The goal of paper is to offer a comprehensive and usable technique to recognize spam that helps to detect and protect users from junk email, fraudulent e-mail threats and viruses. While widespread methods are complex and expensive, proposed technique is based on header investigating without additional tools and hard processing.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
互联网技术深入。基于报头调查的垃圾邮件识别技术
电子邮件是最有效的商务和个人沟通工具。这种互联网服务的普及、开放和广泛可用性,使得通过发送未经请求的电子邮件(垃圾邮件)来宣传产品和服务具有吸引力。本文的目标是提供一种全面和可用的技术来识别垃圾邮件,帮助检测和保护用户免受垃圾邮件、欺诈性电子邮件威胁和病毒的侵害。虽然广泛使用的方法复杂且昂贵,但所提出的技术是基于头部调查而不需要额外的工具和硬处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Internet technologies in depth. the technique of spam recognition based on header investigating Evaluation of some tools for extracting e-evidence from mobile devices Fluid controlled models of computer networks under denial of service attacks Integration of the cultural component in the elearning language course Welfare classification using CMAC neural networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1