• 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