Paper Info
Title
An Anonymous Email Identification Solution based on Writing Structural Patterns
Abstract
AbstractA method to analyze anonymous emails in digital forensics is presented in this paper. The frequent pattern-growth 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.
Year
DOI
Venue
2015
10.4018/IJGHPC.2015040103
Periodicals
Keywords
Field
DocType
AHP, Anonymous Email Identification, FP-Growth, Frequent Pattern, Writing Structural Pattern
World Wide Web,Digital forensics,Computer science,Analytic hierarchy process
Journal
Volume
Issue
ISSN
7
2
1938-0259
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Yan-Hua Liu152.46
Guolong Chen25211.10
Yiyun Zhang311.45