Detecting spear-phishing emails based on authentication - 文章详情页

作者：

Xiujuan, Wang (Xiujuan, Wang.) | Chenxi, Zhang (Chenxi, Zhang.) | Kangfeng, Zheng (Kangfeng, Zheng.) | Haoyang, Tang (Haoyang, Tang.) | Yuanrui, Tao (Yuanrui, Tao.) 展开

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摘要：

In　this　paper,　stylometric　features,　gender　features　and　personality　features　are　introduced　in　the　phishing　detection.　Experimental　results　show　that　the　detection　accuracy　reaches　95.05%,　which　is　about　10%　higher　than　that　only　using　the　stylometric　features.　This　results　indicates　that　the　algorithm　has　detection　effect.　©　2019　IEEE.

关键词：

Feature extraction Authentication Computer crime

作者机构：

[ 1 ] [Xiujuan, Wang]Beijing University of Technology, Beijing, China
[ 2 ] [Chenxi, Zhang]Beijing University of Technology, Beijing, China
[ 3 ] [Kangfeng, Zheng]Beijing University of Posts and Telecommunications, Beijing, China
[ 4 ] [Haoyang, Tang]Beijing Univ of Technology, Beijing, China
[ 5 ] [Yuanrui, Tao]Beijing Univ of Technology, Beijing, China

通讯作者信息：

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来源：

年份： 2019

页码： 450-456

语种：英文

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SCOPUS被引频次： 14

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