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Titlebook: Android Application Security; A Semantics and Cont Mu Zhang,Heng Yin Book 2016 The Author(s) 2016 Android application security.Security.Pro

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发表于 2025-3-21 18:16:08 | 显示全部楼层 |阅读模式
期刊全称Android Application Security
期刊简称A Semantics and Cont
影响因子2023Mu Zhang,Heng Yin
视频videohttp://file.papertrans.cn/158/157055/157055.mp4
发行地址Includes supplementary material:
学科分类SpringerBriefs in Computer Science
图书封面Titlebook: Android Application Security; A Semantics and Cont Mu Zhang,Heng Yin Book 2016 The Author(s) 2016 Android application security.Security.Pro
影响因子This SpringerBrief explains the emerging cyber threats that undermine Android application security. It further explores the opportunity to leverage the cutting-edge semantics and context–aware techniques to defend against such threats, including zero-day Android malware, deep software vulnerabilities, privacy breach and insufficient security warnings in app descriptions. The authors begin by introducing the background of the field, explaining the general operating system, programming features, and security mechanisms. The authors capture the semantic-level behavior of mobile applications and use it to reliably detect malware variants and zero-day malware. Next, they propose an automatic patch generation technique to detect and block dangerous information flow. A bytecode rewriting technique is used to confine privacy leakage. User-awareness, a key factor of security risks, is addressed by automatically translating security-related program semantics into natural languagedescriptions. Frequent behavior mining is used to discover and compress common semantics. As a result, the produced descriptions are security-sensitive, human-understandable and concise..By covering the background, c
Pindex Book 2016
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书目名称Android Application Security影响因子(影响力)




书目名称Android Application Security影响因子(影响力)学科排名




书目名称Android Application Security网络公开度




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书目名称Android Application Security被引频次




书目名称Android Application Security被引频次学科排名




书目名称Android Application Security年度引用




书目名称Android Application Security年度引用学科排名




书目名称Android Application Security读者反馈




书目名称Android Application Security读者反馈学科排名




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https://doi.org/10.1007/978-3-319-06170-2 differences. We implement a prototype system, ., in 23 thousand lines of Java code. We evaluate our system using 2200 malware samples and 13,500 benign samples. Experiments show that our signature detection can correctly label 93 % of malware instances; our anomaly detector is capable of detecting
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