HAND 发表于 2025-3-21 18:11:55
书目名称Android Malware Detection using Machine Learning影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0157072<br><br> <br><br>书目名称Android Malware Detection using Machine Learning读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0157072<br><br> <br><br>GRAVE 发表于 2025-3-21 23:31:25
1568-2633 chnique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malic978-3-030-74666-7978-3-030-74664-3Series ISSN 1568-2633 Series E-ISSN 2512-2193Instrumental 发表于 2025-3-22 03:36:06
The Leukocyte Actin Cytoskeletonthreats. Such threats could be committed by adversaries who might gain access to sensitive information and resources through Android malware apps. In this context, protecting Android devices from malicious apps is of paramount importance. This raises the need for security solutions to protect users形容词词尾 发表于 2025-3-22 07:22:01
http://reply.papertrans.cn/16/1571/157072/157072_4.png表示向下 发表于 2025-3-22 12:35:59
https://doi.org/10.1007/978-3-540-76376-5tinct authors and certificates, are most likely to be malicious if they are highly similar. Because the adversary usually repackages multiple app packages with the same malicious payload to hide it from anti-malware and vetting systems. Consequently, it is difficult to detect such malicious payloadsFreeze 发表于 2025-3-22 13:33:17
https://doi.org/10.1007/978-3-540-76376-5ion at the end host, in . (2009), pp. 351–366) used specific features to build behavioral graphs for Win32 malware detection. The security features may change based on the execution environment despite the target platform. For instance, the authors in Chen et al. (Stormdroid: A streaminglized machinbeta-carotene 发表于 2025-3-22 18:21:51
https://doi.org/10.1007/978-3-540-76376-5sub-cyber-infrastructures. To this end, . leverages cyber-threat intelligence that is derived from various sources such as spam, Windows malware, darknet, and passive DNS to ascribe cyber-threats to the corresponding cyber-infrastructure. Accordingly, the input of . framework is made of malware sampExclude 发表于 2025-3-22 23:30:18
https://doi.org/10.1007/978-3-540-76376-5id malware were discovered in 2014 and 2015, respectively. Nowadays, the number of malware samples reaches millions per month and is growing exponentially over time. In this context, it is a desideratum to elaborate scalable, robust, and accurate techniques and frameworks that tackle two specific prBOON 发表于 2025-3-23 04:35:21
Introduction,threats. Such threats could be committed by adversaries who might gain access to sensitive information and resources through Android malware apps. In this context, protecting Android devices from malicious apps is of paramount importance. This raises the need for security solutions to protect usersDawdle 发表于 2025-3-23 06:07:20
Background and Related Work,der three main deployment architectures: ., ., and . architectures. The proposed two-level taxonomy allows carrying out an objective and appropriate analysis by comparing only systems that are addressing the same threat category, and having the same deployment architecture as they share the same goa