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標(biāo)題: Titlebook: Android Malware; Xuxian Jiang,Yajin Zhou Book 2013 The Author(s) 2013 Android.Computer Intrusion and Defense.Malware.Security and Privacy [打印本頁(yè)]

作者: 照相機(jī)    時(shí)間: 2025-3-21 19:19
書(shū)目名稱Android Malware影響因子(影響力)




書(shū)目名稱Android Malware影響因子(影響力)學(xué)科排名




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




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




書(shū)目名稱Android Malware被引頻次




書(shū)目名稱Android Malware被引頻次學(xué)科排名




書(shū)目名稱Android Malware年度引用




書(shū)目名稱Android Malware年度引用學(xué)科排名




書(shū)目名稱Android Malware讀者反饋




書(shū)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.
作者: IVORY    時(shí)間: 2025-3-23 09:16
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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作者: Myelin    時(shí)間: 2025-3-23 15:48
Dynamical Entropy in Operator AlgebrasIn this chapter, we examine three representative Android malware families, i.e., ., ., and ., and present a detailed analysis of them.
作者: 背信    時(shí)間: 2025-3-23 20:47
https://doi.org/10.1007/3-540-34673-2In this book, while we aim to make it accessible to those new to the area, we do not intend to provide a comprehensive tutorial on various aspects of Android malware. In the following, we provide relevant references and additional readings for interested readers who want to have a broader understanding of this field.
作者: 評(píng)論性    時(shí)間: 2025-3-23 22:48
Relative Entropy and SubfactorsIn this book, we present an overview of existing Android malware and further systematically characterize their behavior from different perspectives.
作者: intelligible    時(shí)間: 2025-3-24 04:33
Introduction,Recent years have witnessed an explosive growth in smartphone sales and adoption. According to CNN [39], smartphone shipments have tripled in the past three years from 40 million to about 120 million. The year of 2011 even marks as the first time in history that smartphones have outsold personal computers.
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作者: 蔓藤圖飾    時(shí)間: 2025-3-25 01:46
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.
作者: 漸強(qiáng)    時(shí)間: 2025-3-25 04:15

作者: EPT    時(shí)間: 2025-3-25 08:43
https://doi.org/10.1007/978-1-4614-7394-7Android; Computer Intrusion and Defense; Malware; Security and Privacy
作者: chemoprevention    時(shí)間: 2025-3-25 13:37

作者: 粘連    時(shí)間: 2025-3-25 18:57
Discussion,are 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
作者: 行乞    時(shí)間: 2025-3-25 22:38
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