DocumentCode
3730577
Title
A solution of anonymous email identification based on writing structural pattern
Author
Yiyun Zhang; Yanhua Liu; Guolong Chen
Author_Institution
College of Mathematics and Computer Science, Fuzhou University, Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, China 350100
fYear
2015
Firstpage
1525
Lastpage
1531
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.
Keywords
"Electronic mail","Writing","Data mining","Feature extraction","Analytical models","Indexes","Algorithm design and analysis"
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
Type
conf
DOI
10.1109/FSKD.2015.7382171
Filename
7382171
Link To Document