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[期刊论文]

An anonymous email identification solution based on writing structural patterns

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author:

Liu, Yanhua (Liu, Yanhua.) [1] (Scholars:刘延华) | Chen, Guolong (Chen, Guolong.) [2] (Scholars:陈国龙) | Zhang, Yiyun (Zhang, Yiyun.) [3]

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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:

Computer forensics Decision making Electronic mail

Community:

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

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 2

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