English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 88654/118227 (75%)
Visitors : 23501737      Online Users : 748
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: http://nccur.lib.nccu.edu.tw/handle/140.119/85825


    Title: 行動應用程式的靜態二元分析
    Other Titles: Static Binary Analysis on iOS Executables
    Authors: 郁方;陳郁方
    Contributors: 資訊管理學系
    Date: 2013
    Issue Date: 2016-04-20 17:15:34 (UTC+8)
    Abstract: 當行動應用程式充斥生活之中, 對其真實行為進行正規與系統性的分析變得格外重要。 本計劃提出以靜態二元分析技術對行動應用程式碼進行行為分析與特徵化。 運用分析 工具與反轉工程技術,重建行動應用程式的原碼特徵。蒐集與分析惡意程式的行為特 徵,針對外部/使用者開發的行動應用程式,偵測其可能包含的惡意行為,從而預防濳 藏的隱私洩露與後門攻擊。技術面運用雲端架構達成分散式字元分析,運用自動機與 模型檢驗技術達成因果分析,運用統計與人工智慧進行應用程式分類與特徵萃取。 本計劃亦將實現於一自動化分析行動程式工具。
    In this project, we propose to investigate static binary analysis techniques on iOS executables with the aim of providing an automatic, sound and formal approach to analyze and characterize mobile applications, and detect (potential) malicious behaviors that are embedded and may not appear to users. The project can be divided into three parts: distributed syntax analysis based on reverse engineering techniques and the hadoop framework, causality analysis based on string analysis, automata and model checking techniques, and malware classification and feature extraction based on statistic and artificial intelligence approaches. A new tool AppBeach (abbrv. on App Behavior Architect) that provides an end to end static binary analysis on iOS executables is also presented.
    Relation: 計畫編號 NSC 102-2221-E004-002
    Data Type: report
    Appears in Collections:[資訊管理學系] 國科會研究計畫

    Files in This Item:

    File Description SizeFormat
    102-2221-E004-002.pdf4338KbAdobe PDF606View/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
    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。
    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。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback