A solution of anonymous email identification based on writing structural pattern - Details

author：

Zhang, Y. (Zhang, Y..) ^[1] | Liu, Y. (Liu, Y..) ^[2] | Chen, G. (Chen, G..) ^[3]

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Abstract：

This　paper　presents　a　method　to　analyze　the　anonymous　email　in　digital　forensics.　The　FP-growth　algorithm　is　used　to　analyze　the　user＇s　email　in　the　method　to　get　the　user＇s　email　writing　structural　pattern.　The　impact　of　the　user＇s　writing　structural　pattern　on　analysis　of　anonymous　email　is　different　from　each　other.　The　AHP　method　is　used　to　calculate　the　weight　of　a　user＇s　different　writing　structural　pattern.　For　a　given　anonymous　email,　writing　structural　pattern　matching　and　weight　calculation　can　help　investigators　to　make　a　better　decision　and　find　out　the　author　of　anonymous　email　in　forensic　work.　©　2015　IEEE.

Keyword：

AHP; anonymous email identification; FP-growth; frequent pattern; writing structural pattern

Community：

[ 1 ] [Zhang, Y.]College of Mathematics and Computer Science, Fuzhou University, Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, Fujian, 350100, China
[ 2 ] [Liu, Y.]College of Mathematics and Computer Science, Fuzhou University, Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, Fujian, 350100, China
[ 3 ] [Chen, G.]College of Mathematics and Computer Science, Fuzhou University, Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, Fujian, 350100, China

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Source ：

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Year： 2016

Page： 1525-1531

Language： English

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SCOPUS Cited Count： 3

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