Abstract
At present, the urban population accounts for an increasing proportion of the total population, and the dense urban population has also caused some problems. To solve the issue of delayed material delivery, urban logistics distribution has become one of the key solutions. With the rapid improvement of sensor nodes and wireless technique, time-series data applications become increasingly popular. In an urban logistics distribution application, the vehicles can be the sensing user while the statistics data user is the data aggregator. In many cases, the aggregator is untrusted which makes it much more difficult to protect sensing users' privacy. In this paper, we take the multi-threads smart devices into consideration, and propose a privacy-preserving protocol which largely decreases decryption computation overheads. After importing multi-threads computation, we enhance a scalable privacy-preserving data aggregation protocol to make it less time costly and more suitable for large sensing system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Wireless and Mobile Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
