Abstract
In recent years, the number of mobile terminals is increasing sharply. Due to Android’s open nature and convenience for surfing, many invaders target on Android. In this paper, we propose a network behavior-based malware detection system for Android which is composed of network behavior monitoring module, anomaly network behavior analyzing module and storage module. We collect the network behavior features of applications, classify them via Bayes algorithm and diagnose whether it is malicious. The priority of the system is that it’s aimed the internet characteristics of malware and using network behavior as object of analysis. In theory, the system can detect malware effectively.
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Qi, Y., Cao, M., Zhang, C., Wu, R. (2014). A Design of Network Behavior-Based Malware Detection System for Android. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8631. Springer, Cham. https://doi.org/10.1007/978-3-319-11194-0_52
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DOI: https://doi.org/10.1007/978-3-319-11194-0_52
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11193-3
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