Title
A Solution Of Anonymous Email Identification Based On Writing Structural Pattern
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.
Year
Venue
Keywords
2015
2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD)
anonymous email identification, writing structural pattern, frequent pattern, FP-growth, AHP
Field
DocType
Citations 
World Wide Web,Digital forensics,Computer science,Pattern matching,Analytic hierarchy process
Conference
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Yiyun Zhang111.45
Yan-Hua Liu252.46
Guolong Chen341133.26