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The sale of products using the android Operation System (OS) phone Through the benchmark and test set experiments, it can be seen that the measurement value of apps that has weak equivalent to attack behavior is distributed between 0.0468 and 1, and the measurement value distribution is reasonable, which verifies the accuracy and rationality of the method. These results are consistent with reality, and the effectiveness and feasibility of the proposed method are verified. In an experiment with three known apps, the measurement values are 0.629, 1, and 0.976. The weak equivalent and nonequivalent are introduced to determine the behavior of apps, whereas the measurement function is constructed to calculate the app risk measurement value. App behavior and attack behavior are modeled by process algebra.

Analytic hierarchy process (AHP) is used to calculate the weight of feature in the feature set extracted from the app. To solve the issue of measuring the risk of the application-layer collusion privilege escalation attacks in Android apps, this paper proposed a risk measurement method based on the feature weight and behavior determination. Compared with traditional privacy stealing Trojan, Hydra-Bite has higher information capture rate and stronger antikilling performance. Hydra-Bite can resist the killing of the following two methods, the typical detection tool Androguard based on “permission-API” and the typical static taint tracking tool FlowDroid. The experimental results show that Hydra-Bite could resist the detecting and killing of about 60 security engines such as Kaspersky, McAfee, and Qihoo-360 in VirusTotal platform and capture the privacy information of the devices of different versions from Android 4.0 to Android 7.0. Finally, collaborative external transmission of information is realized on the basis of intragroup Apps’ communication. Meanwhile, a communication medium selection algorithm and an information normalization coding method are proposed to improve the efficiency and the concealing property for taints removal. Then, a covert channel is adopted for the intergroup Apps to remove the information’s taint tagged by security methods. And the permission set redundancy elimination splitting algorithm is subsequently adopted to extract the simplest key permission set and split the set by functions so as to form the collaborative application group. For Hydra-Bite, firstly, traditional privacy stealing Trojan is analyzed to obtain the permission set. In order to attract attention to the malicious use of large-scale operation of applications, Hydra-Bite, an Android device privacy leak path implemented by splitting traditional malicious application and restructuring to a collaborative application group, is proposed in this paper.

Download capture nux for blackberry offline installer