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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/129122


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/129122


    题名: AppBeach: A Static Behavior Checker for iOS Mobile Applications
    作者: 郁方*
    Yu, Fang
    Tai, Steven
    Shao, Tang-Wei
    Wang, Wei-Ren
    贡献者: 資管系
    日期: 2015-04
    上传时间: 2020-03-06 10:50:54 (UTC+8)
    摘要: AppBeach standing on App Behavior Checker is a new service to reconstruct and report behaviors of iOS mobile applications, using static binary analysis to reveal embedded functions within the executables. AppBeach adopts a distributed algorithm on call sequence counting via the hadoop framework, achieving a scalable static syntax analysis on executables of modern apps. The main idea is syntactically counting call sequences that are embedded in iOS executable. This is done by distributing routines to mappers with the assembly tool that resolves explicit and implicit system method calls that are embedded in the iOS executables. The reducer then collects the counting from mappers to characterize the behaviors of apps. We learn patterns of malicious behaviors from the difference of pairs of normal and malicious apps, and report the probability of potential behaviors of commercial apps by matching these patterns to their call sequence counts.
    關聯: Communications of the CCISA, Vol.21, No.2, pp.41-51
    数据类型: article
    显示于类别:[資訊管理學系] 期刊論文

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