政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/128563

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/128563

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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/128563

Title:	靜態廣告欺詐行為偵測技術研究-以 iOS 為例 Static ad fraud detection on iOS applications
Authors:	黃存宇 Huang, Cun-Yu
Contributors:	郁方 Yu, Fang 黃存宇 Huang, Cun-Yu
Keywords:	靜態分析廣告欺詐檢測 iOS 行動應用程式資訊安全 Static analysis Ad fraud detection iOS Mobile application Software security
Date:	2019
Issue Date:	2020-02-05 17:26:32 (UTC+8)
Abstract:	手機App成為最受歡迎和占主導地位的軟體應用程式之一，應用程序開發人員從應用程序廣告中獲得了可觀的利潤。在應用程式中，以適當的方式呈現廣告對客戶和廣告商都有好處，但是在我們的研究中，卻發現各種廣告欺詐。廣告欺詐會破壞用戶體驗或廣告效果，但是開發人員可以從中獲得更多的利潤。在我們研究中，提出了一種靜態分析技術來檢查iOS應用程式上的廣告欺詐行為。我們會檢測出插頁式廣告，尺寸違反廣告，多重廣告和重疊式廣告的廣告欺詐行為。為了檢測這些違規，它需要使用應用程序中的特定參數來識別廣告API調用，通過動態調用很難檢測到，因為確切的調用及其參數取決於嵌套參數的運行時候的值。我們在iOS的可執行文件上採用靜態分析技術，通過該技術我們可以對目標函數的參數構建依賴關係圖。然後，我們對依賴關係圖進行字串分析，以呈現潛在的API調用及其對廣告欺詐違規的參數值。我們已經分析了上千個應用程序，這些應用程序由我們之前的應用程序靜態分析工具Binflow構造了控制流程圖，並發現208個應用程序使用了與廣告相關API的動態調用。我們進一步發現了70個具有插頁式廣告欺詐，48個具有尺寸違反廣告欺詐，31個具有多重廣告欺詐和19個具有重疊式廣告廣告欺詐。 While mobile applications (apps) become one of the most popular and dominant software applications, app developers (particularly for those who deliver free apps) gain considerable parts of proﬁts from advertisements on apps. Demonstrating ads on apps in a suitable way beneﬁts both customers and advertisers. Various ad frauds have been identiﬁed with which developers may gain extra beneﬁts but damage user experience or advertisement eﬀects. We present a static analysis technique to check ad frauds of iOS apps in this work. Particularly, we detect apps that have their ads against interstitial violation, size violation, multi-view and overlap violation. To detect these violations, it requires to identify advertisement API invocation with speciﬁc arguments in apps. It becomes hard to detect with dynamic invocation where exact calls and their arguments depend on runtime values of nested parameters. We adopt static ﬂow analysis techniques on iOS executable with which we build dependency graphs on parameters of target functions. We then conduct string analysis on dependency graphs to reveal potential API invocations with their argument values on ad fraud violations. We have analyzed more than one thousand apps that have their control ﬂow graphs constructed by our previous app static analysis tool Binﬂow, and found 208 apps using dynamic invocations on Ad related API calls. We further identiﬁed 70 apps having interstitial-violation ads, 48 apps having size violation ads, 31 apps having multi-view violation ads, and 19 apps having overlay violation ads.
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Description:	碩士國立政治大學資訊管理學系 106356036
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0106356036
Data Type:	thesis
DOI:	10.6814/NCCU202000021
Appears in Collections:	[Department of MIS] Theses

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