DroidCat Dataset: A real human-interaction Android Application Logs Dataset

Published: 6 September 2016| Version 1 | DOI: 10.17632/hhszxzhvr4.1
Bahman Rashidi, Carol Fung, Pulkit Rustgi


The dataset contains 950 Android application logs from different malware categories. Applications are instrumented by human (real human-interaction) using DroidCat Logger tool so the behavior logs highly assemble real world executing of Android apps. The dataset contains 440 malicious and 508 benign (normal) app logs. The logs have been captured for XDroid project. You can find more details on the dataset in the paper.


Steps to reproduce

Download Policy We are pleased to share this log dataset, but in order to prevent any misuse, we ask you to send us an email to rashidib[AT]vcu.edu. We will email you back the dataset. - If you are in academia: 1. If you are a student, please ask your advisor to send us an email for the access. If you are a faculty, please send us the email from your university's email account. 2. In your email, please include your name, affiliation, and homepage The information is needed for verification purpose. Note that your request may be ignored if we are not able to determine your identity or affiliation. 3. If your papers or articles use the DroidCat dataset, please cite our paper: - Bahman Rashidi, Carol Fung, "XDroid: An Android Permission Control Using Hidden Markov Chain and Online Learning", 2016 IEEE Conference on Communications and Network Security (CNS), 2016.


Computer Science, Security, Computer Security and Privacy, Computer Privacy, Mobile Device, Log Analysis