| dc.contributor | 2019智慧企業資訊應用發展國際研討會 | |
| dc.creator (作者) | 黃存宇 | |
| dc.creator (作者) | Huang, Cun Yu | |
| dc.creator (作者) | 翁健豪 | |
| dc.creator (作者) | Weng, Chien-Hao | |
| dc.creator (作者) | 郁方 | |
| dc.creator (作者) | Yu, Fang | |
| dc.date (日期) | 2019-06 | |
| dc.date.accessioned | 17-Jul-2019 15:15:21 (UTC+8) | - |
| dc.date.available | 17-Jul-2019 15:15:21 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Jul-2019 15:15:21 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/124372 | - |
| dc.description.abstract (摘要) | 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。 | |
| dc.description.abstract (摘要) | 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. | |
| dc.format.extent | 95655 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | 2019智慧企業資訊應用發展國際研討會 | |
| dc.subject (關鍵詞) | iOS ; 程式安全 ; 程式分析 | |
| dc.subject (關鍵詞) | iOS ; Security ; Program Analysis | |
| dc.title (題名) | 智慧檢測IOS應用上不正當使用廣告套件行為 | |
| dc.title (題名) | Abnormal Ad API Usage Detection on iOS Applications | |
| dc.type (資料類型) | conference | |
