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 DroidCollector dataset, please cite our papers:
   
   
   @inproceedings{Cao2017DroidCollector,
   title={DroidCollector: A High Performance Framework for High Quality Android Traffic Collection},
   author={Cao, Dong and Wang, Shanshan and Li, Qun and Cheny, Zhenxiang and Yan, Qiben and Peng, Lizhi and Yang, Bo},
   booktitle={Trustcom/bigdatase/i​spa},
   pages={1753-1758},
   year={2017},
   }

If you are in industry

1. Please send us an email from your company's email account. Please briefly introduce yourself (e.g., name) and your company in that mail.
2. Please also attach a justification letter (PDF) in official letterhead. The justification letter needs to acknowledge the "DroidCollector" project from the University of Jinan, China and state clearly the reasons why the dataset is being requested. Also, acknowledge that the dataset will not be shared to others without our permission.

1. Xidian Universityt, China
2. University of Nebraska-Lincoln, USA

• Lexical Mining of Malicious URLs for Classifying Android Malware
• An Effective Detection of Mobile Malware Behavior based on Explainable Deep Neural Network