@inproceedings{894e73e7272e4c5d836d8dc6d3b780b7,
title = "ChainMOB: Mobility analytics on blockchain",
abstract = "Mobile devices generate massive amounts of data that is used to get an insight into the user behavior by enterprise systems. Data privacy is a concern in such systems as users have little control over the data that is generated by them. Blockchain systems offer ways to ensure privacy and security of the user data with the implementation of an access control mechanism. In this demonstration, we present ChainMOB, a mobility analytics application that is built on top of blockchain and addresses the fundamental privacy and security concerns in enterprise systems. Further, the extent of data sharing along with the intended audience is also controlled by the user. Another exciting feature is that user is part of the business model and is incentivized for sharing the personal mobility data. The system also supports queries that can be used in a variety of application domains.",
keywords = "Blockchain, Mobility analytics, Spatiotemporal data",
author = "Bulat Nasrulin and Muhammad Muzammal and Qiang Qu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 19th IEEE International Conference on Mobile Data Management, MDM 2018 ; Conference date: 26-06-2018 Through 28-06-2018",
year = "2018",
month = jul,
day = "13",
doi = "10.1109/MDM.2018.00056",
language = "English",
series = "Proceedings - IEEE International Conference on Mobile Data Management",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "292--293",
booktitle = "Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018",
address = "United States",
}