DHT Extension of m-Cloud -- Scalable and Distributed Privacy Preserving Statistical Computation on Public Cloud
郁夫 中川, Yoshifumi Hashimoto, Mitsuharu Goto, Masahiro Hiji, Yutaka Kicuchi, Masahiro Fukumoto, Shinji Shimojo · 2015
In the age of IoT (Internet of Things), tens of billions sensors or devices will be connected to cloud services. Although cloud environment is suitable for incredibly growing IoT services because of elasticity, scalability and efficiency for collecting and analyzing such data, protecting privacy on public cloud is a big issue. We proposed m-cloud, a distributed computation mechanism on multiple and independent public cloud environment. The mechanism enables to calculate various statistical indices from a large number of sensor data while it reduces the risk of revealing privacy information. We also propose an extension of the m-cloud computation mechanism so that it provides high scalability for infinitely increasing number of IoT devices by applying DHT (Distributed Hash Table) technique.