デジタルフォレンジクスの為のWeb閲覧履歴可視化方式の提案 A Proposal on Method to Visualizing Web Browsing History for Digital Forensics

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ユーザの多くが常時携行し,活用するモバイル端末は必然的にプライバシ情報を集約しており,デジタルフォレンジクスにおいては当該端末の調査は非常に有効となる.スマートフォンに代表されるモバイル端末は HTML5 に対応した Web ブラウザをアプリケーション実行環境とする HTML5 プラットフォーム化が進んでおり,HTML5 のクライアント側記憶機能はフォレンジクスにおける調査対象として今後重要が増すものと考えられる.本研究では,当該記憶領域の内容を,オフラインで獲得し,構造化,グラフィカルに可視化する方法を提案する.Mobile devices accumulates much private information of the user. This is due to the carried by user and utilized for communication. Therefore, digital forensics that targets mobile devices will be deemed to be more effective. Mobile terminals, especially smartphones is transforming a HTML5 platform. This is what the application execution environment that supports HTML5 Web browser. One of the significant feature of HTML5 is WebStorage. It is intended to enable the storage feature that is easy to handle and large capacity to Web browser. This feature will be deemed to be important in the digital forensics. In this research, we propose the method to acquire this storage area offline and structuralize and graphically visualize it.

Mobile devices accumulates much private information of the user. This is due to the carried by user and utilized for communication. Therefore, digital forensics that targets mobile devices will be deemed to be more effective. Mobile terminals, especially smartphones is transforming a HTML5 platform. This is what the application execution environment that supports HTML5 Web browser. One of the significant feature of HTML5 is WebStorage. It is intended to enable the storage feature that is easy to handle and large capacity to Web browser. This feature will be deemed to be important in the digital forensics. In this research, we propose the method to acquire this storage area offline and structuralize and graphically visualize it.

収録刊行物

  • 研究報告インターネットと運用技術(IOT)

    研究報告インターネットと運用技術(IOT) 2014-IOT-25(12), 1-6, 2014-05-15

    一般社団法人情報処理学会

各種コード

  • NII論文ID(NAID)
    110009772692
  • NII書誌ID(NCID)
    AA12326962
  • 本文言語コード
    JPN
  • 資料種別
    Technical Report
  • ISSN
    09196072
  • データ提供元
    NII-ELS  IPSJ 
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