With increasing adoption of cloud services in the e-market, collaboration between
stakeholders is easier than ever. Consumer stakeholders demand data from various sources …

Clustering and analyzing on collected data can improve user experiences and quality of
services in big data, IoT applications. However, directly releasing original data brings …

Given a set of local sequential datasets held by multiple parties, we study the problem of
publishing a synthetic dataset that preserves approximate sequentiality information of the …

Secure multiparty computation (SMC) is needed now-a-days in which data are distributed
between different parties. Moreover, organizations are wished to collaborate with other …

Industrial Internet technology has developed rapidly, and the security of industrial data has
received much attention. At present, industrial enterprises lack a safe and professional data …

Business enterprises adopt cloud integration services to improve collaboration with their
trading partners and to deliver quality data mining services. Data-as-a-Service (DaaS) …

Data mining techniques, while allowing the individuals to extract hidden knowledge on one
hand, introduce a number of privacy threats on the other hand. In this paper, we study some …

In this work, we introduce a differentially private method for generating synthetic data from
vertically partitioned data,\emph {ie}, where data of the same individuals is distributed across …

In the current artificial intelligence (AI) era, the scale and quality of the dataset play a crucial
role in training a high-quality AI model. However, good data is not a free lunch and is always …

Cloud Computing is an emerging technology, which relies on sharing computing resources.
Sharing of data in the group is not secure as the cloud provider cannot be trusted. The …