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
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"
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
DOI :
10.1109/FSKD.2015.7382171
