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來源資料
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題名 | Android惡意軟體偵查之研究=A Study on Detection of Android Malware |
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作者姓名(中文) | 許博學; 陳奎研; 陳奎研; 許博學; | 書刊名 | 全球商業經營管理學報 |
卷期 | 7 2015.09[民104.09] |
頁次 | 頁123-133 |
分類號 | 312.76 |
關鍵詞 | 惡意軟體; 靜態分析; 動態分析; Android; Malware; Static analysis; Dynamic analysis; |
語文 | 中文(Chinese) |
中文摘要 | Android 是一種開放且廣受用戶喜愛的作業系統,其應用軟體商店Google Play 上之APP 數量已於 2015 年超越了APPLE App Store,成為世界上應用軟體最多的作業系統。基於龐大應用軟體數量與平 台相較iOS 開放之特性,是否能夠快速有效的辨識出惡意軟體遂成為研究重點。本文介紹兩類主流的 惡意軟體偵查方法:靜態分析及動態分析,論述其偵查機制與特性比較。並且提出一款我們自行研發 的手機防毒軟體MAB,專用於偵查最棘手的未知型惡意軟體。 |
英文摘要 | Android is an open and very popular operating system with the world’s largest amount of application software on Google Play, which is over that on APPLE App Store since 2015.Capability of fast and effective discrimination of malware on Android becomes an important security issue, also due to its features of more open than iOS and huge amount of apps. This paper introduces main stream of malware detection methods, static analysis and dynamic analysis, and focuses on the discussion of detecting mechanism and feature comparison. Also, we introduce our anti-virus app, MAB, which is designed to deal with thorny problem of unknown type malware. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。