Privacy requirements have an increasing impact on the real-world applications. Technical considerations and many significant commercial and legal regulations demand that privacy guarantees be provided whenever sensitive information is stored, processed, or communicated to external parties. It is therefore crucial to design solutions able to respond to this demand with a clear integration strate...

The advancements in the Information Technology and the rapid diffusion of novel computing paradigms have accelerated the trend of moving data to the cloud. Public and private organizations are more often outsourcing their data centers to the cloud for economic and/or performance reasons, thus making data confidentiality an essential requirement. A basic technique for protecting data confidentia...

Storage-as-a-Service offered by cloud service providers (CSPs) enables customers to store and retrieve almost unlimited amount of data by paying fees metered in GB/month. For an increased level of scalability, availability and durability, some customers may want their data to be replicated on multiple servers across multiple data centers. In this paper, we propose a pairing-based provable multi...

Outsourcing of their data to third-party service providers is a cost-effective data management strategy for many organizations. Outsourcing, however, introduces new challenges with respect to ensuring the security and the privacy of the data. In addition to the need for standard access control policies, organizations must now be concerned with the privacy of their data and so hiding the data fr...

We study formal privacy notions for data outsourcing schemes. The aim of our efforts is to define a security framework that is applicable to highly elaborate as well as practical constructions. First, we define the privacy objectives data privacy, query privacy, and result privacy. We then investigate fundamental relations among them. Second, to make them applicable to practical constructions, ...

Outsourcing data to remote storage servers has become more and more popular, but the related security and privacy concerns have also been raised. To protect the pattern in which a user accesses the outsourced data, various oblivious RAM (ORAM) systems have been proposed. However, existing ORAM designs assume a single user or a group of mutuallytrusted users to access a remote storage, which mak...

Private set intersection (PSI) is a fundamental cryptographic primitive, allowing two parties to calculate the of their data sets without exposing additional private information. In cloud-based IoT system, IoT-enabled devices would like outsource in encrypted form cloud. this scenario, how delegate computation over outsourced cloud and achieve fine-grained access control for PSI divulging any i...

Outsourced software project is one of the main ways of software development, which is of high failure rate. Intelligent risk prediction model can help identify high risk project in time. However, the existing models are mostly based on such a hypothesis that all the cost of misclassification is equal, which is not consistent with the reality that in the domain of software project risk predictio...

A recently considered scenario for data outsourcing allows performing database queries in the following three-party model: a client interested in making database queries, a data owner providing its database for client access, and a server (e.g., a cloud server) holding the (encrypted) outsourced data and helping both other parties. In this scenario, a natural problem is that of designing effici...

For both convenience and security, more and more users encrypt their sensitive data before outsourcing it to a third party such as cloud storage service. However, searching for the desired documents becomes problematic since it is costly to download and decrypt each possibly needed document to check if it contains the desired content. An informative query-biased preview feature, as applied in m...