Fast computation method for privacy-preserving data aggregation protocol Online publication date: Mon, 10-Sep-2018
by Yuan Jiangjun; Wang Jie
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 15, No. 1, 2018
Abstract: Recent years have seen the rapid improvement of smart terminals and wireless networks, and a lot of smart applications have come to the fore. Taking advantages of fast developed smart terminals, more and more complicated sensing tasks can be taken over and finished. Data aggregation is an important application which is required by many tasks. The sensing devices in mobile sensing systems get time-series data, which can be used for supply forecast and leakage detection. As people nowadays pay more attention on privacy issues, to let people use today's data aggregation application, the first task is to solve their privacy concerns. Here, we propose a fast encryption/decryption mechanism for addition operations on keyed hash functions, based on multi-threads computation and parallel computation on multi-cores architecture. The advanced protocol presented by us works better for large systems and requires less time cost for both mobile sensors and aggregator. The experiments show the performance benefits of the presented protocol.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook