Checking App Behavior Against App Descriptions - ICSE 2014
by Alessandra Gorla, Ilaria Tavecchia, Florian Gross, Andreas Zeller

ICSE '14: Proceedings of the 2014 International Conference on Software Engineering, Pages 292-302, ACM Press, June 2014.

ISBN: 978-1-4503-2756-5

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Abstract

How do we know a program does what it claims to do? After clustering Android apps by their description topics, we identify outliers in each cluster with respect to their API usage. A "weather" app that sends messages thus becomes an anomaly; likewise, a "messaging" app would typically not be expected to access the current location. Applied on a set of 22,500+ Android applications, our CHABADA prototype identified several anomalies; additionally, it flagged 56% of novel malware as such, without requiring any known malware patterns.

BibTeX Entry

@inproceedings{gorla-chabadaicse-2014,
    title = "Checking App Behavior Against App Descriptions",
    author = "Alessandra Gorla and Ilaria Tavecchia and Florian Gross and Andreas Zeller",
    year = "2014",
    month = jun,
    booktitle = "ICSE '14: Proceedings of the 2014 International Conference on Software Engineering",
    location = "Hyderabad, India",
    pages = "292--302",
    publisher = "ACM Press",
    ISBN = "978-1-4503-2756-5",
}

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