An efficient method of extracting strings from unfixed-form data

Sangjun Jeon, Jungheum Park, Keun Gi Lee, Sangjin Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    As all the society becomes computerized, there increases computerized data, and for digital forensic investigations, there is a great deal of unfixed-form data collected, whose exact forms are difficult to figure out, such as physical memory or page files. The most efficient method for investigating unfixed-form data is to extract strings. In case of document files, strings extracted from unfixed-form data come to include contents of the relevant documents, and in case of physical memory or page files, they can even include passwords that users have entered in addition to traces of users' using a messenger or a web page. Although extracting strings plays an important role in investigating unfixed-form data like this, the present method of extracting string includes a number of meaningless strings, while being carried out without considering the Unicode environment properly. Accordingly, this thesis intends to suggest a way of excluding meaningless strings effectively while considering the Unicode environment during the process of extracting strings.

    Original languageEnglish
    Title of host publicationFuture Information Technology, Application, and Service, FutureTech 2012
    Pages425-434
    Number of pages10
    EditionVOL. 1
    DOIs
    Publication statusPublished - 2012
    Event7th FTRA International Conference on Future Information Technology, FutureTech 2012 - Vancouver, BC, Canada
    Duration: 2012 Jun 262012 Jun 28

    Publication series

    NameLecture Notes in Electrical Engineering
    NumberVOL. 1
    Volume164 LNEE
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Other

    Other7th FTRA International Conference on Future Information Technology, FutureTech 2012
    Country/TerritoryCanada
    CityVancouver, BC
    Period12/6/2612/6/28

    Bibliographical note

    Funding Information:
    This research was supported by Bio R&D program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (2011-0027732).

    Keywords

    • Pagefile
    • String
    • Unallocated space

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

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