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Titlebook: Android Malware; Xuxian Jiang,Yajin Zhou Book 2013 The Author(s) 2013 Android.Computer Intrusion and Defense.Malware.Security and Privacy

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發(fā)表于 2025-3-21 19:19:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Android Malware
影響因子2023Xuxian Jiang,Yajin Zhou
視頻videohttp://file.papertrans.cn/158/157070/157070.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類SpringerBriefs in Computer Science
圖書封面Titlebook: Android Malware;  Xuxian Jiang,Yajin Zhou Book 2013 The Author(s) 2013 Android.Computer Intrusion and Defense.Malware.Security and Privacy
影響因子.Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence of information-stealing applications and other types of mobile malware raises substantial security and privacy concerns.?.Android Malware. presents a systematic view on state-of-the-art mobile malware that targets the popular Android mobile platform.? Covering key topics like the Android malware history, malware behavior and classification, as well as, possible defense techniques..
Pindex Book 2013
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書目名稱Android Malware影響因子(影響力)




書目名稱Android Malware影響因子(影響力)學(xué)科排名




書目名稱Android Malware網(wǎng)絡(luò)公開(kāi)度




書目名稱Android Malware網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Android Malware被引頻次




書目名稱Android Malware被引頻次學(xué)科排名




書目名稱Android Malware年度引用




書目名稱Android Malware年度引用學(xué)科排名




書目名稱Android Malware讀者反饋




書目名稱Android Malware讀者反饋學(xué)科排名




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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/a/image/157070.jpg
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https://doi.org/10.1007/3-540-34673-2xisting Android malware. Based on this dataset, we are able to systematically characterize existing Android malware from various aspects, including their installation, activation methods, and malicious payloads.
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Relative Entropy and Subfactorsare facing today. To make matters worse, with limited resources and battery, commodity mobile devices also pose a stringent runtime environment that is different from our desktop PCs. Such difference could preclude the deployment of sophisticated detection techniques that are developed for desktop P
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