Dataset for “Information Exposure for Consumer IoT Devices” (IMC ’19)

1. LICENSE. You are given a non-exclusive and non-transferable license to access and use the dataset for the purpose of non-profit research and education.
2. NON-DISCLOSURE. You will not disclose the dataset to any person other than those employed by your institute who are assisting or collaborating with you using the dataset. Other entities must request access to the dataset separately by sending a request to moniotr@ccs.neu.edu.
3. MANDATORY CITATION. If you create a publication (including web pages, papers published by a third party, teaching material, and publicly available presentations) using data from this dataset, you must cite our paper as follows:

   Title: Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
   Authors: Jingjing Ren, Daniel J. Dubois, David Choffnes, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi
   Venue: Internet Measurement Conference (IMC) 2019
   

   Or, in bibtex format:

   @inproceedings{ren-imc19,
   title={{Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach}},
   author={Ren, Jingjing and Dubois, Daniel J. and Choffnes, David and Mandalari, Anna Maria and Kolcun, Roman and Haddadi, Hamed},
   booktitle={Proc. of the Internet Measurement Conference (IMC)},
   year={2019}
   }

4. CONFIDENTIALITY. All data from this dataset is confidential. You agree to protect the confidentiality of the data and to prevent its unauthorized disclosure and use.
5. ANONYMIZATION. For any publication or other disclosure, you will anonymize or de-identify any credentials, authentication tokens, unique identifiers, and any other personally identifiable information you find in the dataset.
6. NO ABUSE. You will not attempt to use any information that can be derived from the dataset for purposes that are different from non-profit research and education. This includes disclosing any form of credentials or personally identifiable information found in the dataset, or using them for the purpose of gaining unauthorized access to any third-party services or systems. We have done our best to ensure that the dataset contains no data that could be used to compromise our systems; however, if you find any vulnerabilities or credentials in the dataset, you must responsibly disclose them to us or the manufacturers of systems affected by them.

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I have read and agree to abide by the terms of this data sharing agreement (mandatory)