chabada

#URL

#Change Log

When What
April 1st, 2015 Donated by Alessandra Gorla

#Reference

Studies who have been using the data (in any form) are required to include the following reference:

@inproceedings{GorlaetAl:CHABADA:ICSE:2014, 
  author = {Alessandra Gorla and Ilaria Tavecchia and Florian Gross and Andreas Zeller},
  title = {Checking App Behavior Against App Descriptions},
  booktitle = {ICSE'14: Proceedings of the 36th International Conference on Software Engineering}, 
  location = {Hyderabad (India), 31 May - 7 June}, 
  year = {2014}, 
}

#About the Data

##Overview of Data

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.