Distributed privacy preserving statistical computation for IoT in inter-cloud computing environment

2016 Fiscal Year Final Research Report

• Project/Area Number: 26330085
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Software
• Research Institution: Osaka University
• Principal Investigator: Nakagawa Ikuo 大阪大学, サイバーメディアセンター, 招へい准教授 (70647437)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: IoT / Intercloud / Statistical Computation

Outline of Final Research Achievements

In this research, we proposed distributed privacy preserving statistical computation mechanism for processing a huge amount of IoT sensor data, where we reduce the risk of revealing privacy data while we would use scalable, elastic and cost effective computing power of public cloud. In the mechanism, IoT devices upload their data into multiple cloud computing environment with privacy preserving technique so that it reduce the risk of privacy data, while we would achieve accurate statistical indices.
We designed and implemented prototype system for the mechanism and proved its effectiveness. We also extended the mechanism to be scalable and resilient with DHT and distributed transaction technique.
We proposed to apply our mechanism for some business cases, such as smart home, healthcare or online voting. We designed and implemented the prototype for the case of smart home, as well.

Free Research Field

Internet of Things