English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109951/140892 (78%)
Visitors : 46200488      Online Users : 667
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124372


    Title: 智慧檢測IOS應用上不正當使用廣告套件行為
    Abnormal Ad API Usage Detection on iOS Applications
    Authors: 黃存宇
    Huang, Cun Yu
    翁健豪
    Weng, Chien-Hao
    郁方
    Yu, Fang
    Contributors: 2019智慧企業資訊應用發展國際研討會
    Keywords: iOS;程式安全;程式分析
    iOS;Security;Program Analysis
    Date: 2019-06
    Issue Date: 2019-07-17 15:15:21 (UTC+8)
    Abstract: 我們提出了一種用於iOS binary code的靜態分析技術來靜態檢查不正當使用廣告套件行為。iOS binary code靜態分析技術的前處理為先將 binary code 轉換成assembly code,再從中提取segment information並構建程式的control flow graph。為了發現不正當使用廣告套件行為,我們首先檢查程式中是否含有調用廣告相關 API的行為。若程式應用中有調用廣告相關 API ,才會執行下一步不正當使用廣告行為的檢測。本研究總計在 1391個 iOS應用程式中,共發現 12 個應用程式有不正當使用廣告套件。
    We present a static analysis technique for iOS executables for statically checking abnormal Ad API usage. Extracting segment information from the assembly code and constructing control flow graphs of functions will be the first step of static analysis technique for iOS executables. In order to discover abnormal Ad API usage ,we first check the behavior of call Ad Relate API in the app. Then we will perform our analysis on the apps include Ad Relate API. In this work, we find 12 apps which contain abnormal Ad API usage in 1391 apps we download frome App Store.
    Relation: 2019智慧企業資訊應用發展國際研討會
    Data Type: conference
    Appears in Collections:[2019智慧企業資訊應用發展國際研討會] 會議論文

    Files in This Item:

    File Description SizeFormat
    52.pdf93KbAdobe PDF2149View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback