An anonymous email identification solution based on writing structural patterns - Details

author：

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

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Scopus

Abstract：

A　method　to　analyze　anonymous　emails　in　digital　forensics　is　presented　in　this　paper.　The　frequent　patterngrowth　algorithm　is　used　in　the　proposed　method　to　analyze　an　email　and　obtain　the　structural　email　writing　pattern　of　the　user.　The　influence　of　a　user＇s　writing　structural　pattern　on　the　analysis　of　an　anonymous　email　varies.　The　analytic　hierarchy　process　is　used　to　calculate　the　weight　of　a　user＇s　different　writing　structural　patterns.　For　a　given　anonymous　email,　matching　the　writing　structural　pattern　and　weight　calculation　can　help　investigators　improve　their　decision　making　and　determine　the　author　of　an　anonymous　email　in　forensic　work.　Copyright　©　2015,　IGI　Global.

Keyword：

AHP; Anonymous email identification; FP-growth; Frequent pattern; Writing structural pattern

Community：

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

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Source ：

International Journal of Grid and High Performance Computing

ISSN： 1938-0259

Year： 2015

Issue： 2

Volume： 7

Page： 37-49

0 . 6 0 0

JCR@2023

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