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Android Malware Detection Scheme Based on Level of SSL Server Certificate

机译:基于SSL服务器证书级别的Android恶意软件检测方案

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Detecting Android malwares is imperative. As a promising Android malware detection scheme, we focus on the scheme leveraging the differences of traffic patterns between benign apps and malwares. Those differences can be captured even if the packet is encrypted. However, since such features are just statistic based ones, they cannot identify whether each traffic is malicious. Thus, it is necessary to design the scheme which is applicable to encrypted traffic data and supports identification of malicious traffic. In this paper, we propose an Android malware detection scheme based on level of SSL server certificate. Attackers tend to use an untrusted certificate to encrypt malicious payloads in many cases because passing rigorous examination is required to get a trusted certificate. Thus, we utilize SSL server certificate based features for detection since their certificates tend to be untrusted. Furthermore, in order to obtain the more exact features, we introduce required permission based weight values because malwares inevitably require permissions regarding malicious actions. By computer simulation with real dataset, we show our scheme achieves an accuracy of 92.7%. True positive rate and false positive rate are 5.6% higher and 3.2% lower than the previous scheme, respectively. Our scheme can cope with encrypted malicious payloads and 89 malwares which are not detected by the previous scheme.
机译:检测Android恶魔队是势在必行的。作为一个有前途的Android恶意软件检测计划,我们专注于利用良性应用和恶意之间交通模式差异的方案。即使数据包被加密,也可以捕获这些差异。但是,由于这些功能只是基于统计数据,因此他们无法识别每个流量是否是恶意的。因此,有必要设计适用于加密的流量数据的方案,并支持识别恶意流量。在本文中,我们提出了一种基于SSL服务器证书级别的Android恶意软件检测方案。攻击者倾向于使用不受信任的证书来加密恶意有效载荷,因为需要严格检查来获得可信证书。因此,我们利用基于SSL服务器证书的特征进行检测,因为他们的证书往往是不受信任的。此外,为了获得更精确的功能,我们引入所需的基于权限的权重值,因为恶意不可难以难以考虑关于恶意行为的权限。通过使用Real DataSet的计算机模拟,我们展示了我们的计划实现了92.7%的准确性。真正的阳性率和假阳性率分别比以前的计划分别为5.6%和3.2%。我们的计划可以应对先前方案未检测到的加密恶意有效载荷和89个恶作剧。

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