Secure cryptographic storage is one of the most important issues that both businesses and end-users take into account before moving their data to either centralized clouds or blockchain-based decentralized storage marketplace. Recent work [4] formalizes ...

Data encryption‐based and secret sharing‐based data outsourcing schemes protect the confidentiality of sensitive attributes but not their secrecy. Ciphertexts/shares generated by a data encryption/secret sharing scheme can attract the attention of ...

This paper proposes a novel scheme that integrates data hiding with secret sharing for relational databases to protect both secrecy and confidentiality of secret attributes. To the best of our knowledge, this is the first work that protects the secrecy of ...

Query processing over uncertain data has gained much attention recently. Due to the high computational complexity of query evaluation on uncertain data, the data owner can outsource her data to a server that provides query evaluation as a service. ...

In this poster, we introduce CAON: a novel variation of an all-ornothing transform that aims at protecting encrypted data against exposure of cryptographic material.We improve the fastest relevant scheme by reducing the number of exclusive-or operations ...

Cloud storage service allows its users to store and share data in a cloud environment. To secure the data from unauthorized entities while sharing, cryptographic mechanisms are used. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is one such ...

In secure data outsourcing, even a single unauthorized write operation may heavily ruin the data owner's business operations. Another potential issue is that the untrusted service provider may return stale data to mislead the readers. Existing work on ...

In data outsourcing, a client stores a large amount of data on an untrusted server; subsequently, the client can request the server to compute a function on any subset of the data. This setting naturally leads to two security requirements: ...

Cloud computing has emerged as a successful paradigm to deliver flexible and convenient data processing and sharing. Security and privacy management of outsourced data is among the top concerns for cloud adoption. To this end, attribute-based encryption ...

Outsourcing data and IT infrastructure can be profitable for business, but it raises severe privacy issues. Ordinary encryptions partially solve the problem, but they limits operations, which can be performed over encrypted data. In this paper, we ...

This paper presents a well-founded language allowing in one hand data owners to easily specify their security and utility requirements over the data to be outsourced and in an another hand to formalize the set of security mechanisms that can be used for ...

As outsourcing data to remote storage servers gets popular, protecting user's pattern in accessing these data has become a big concern. ORAM constructions are promising solutions to this issue, but their application in practice has been impeded by the ...

Checking remote data possession is of crucial importance in public cloud storage. It enables the users to check whether their outsourced data have been kept intact without downloading the original data. The existing remote data possession checking (RDPC) ...

Cloud computing is an emerging paradigm offering companies (virtually) unlimited data storage and computation at attractive costs. It is a cost-effective model because it does not require deployment and maintenance of any dedicated IT infrastructure. ...

In time-bound access control, access to the system resources by authorized users is limited to specific time periods. In 2012, Vimercati, Foresti, Jajodia and Livraga proposed a scheme for time-bound access control to outsourced data in cloud using ...

When outsourcing data to third-party servers, searchable encryption is an important enabling technique which simultaneously allows the data owner to keep his data in encrypted form and the third-party servers to search in the ciphertexts. Motivated by ...

Ensuring confidentiality of outsourced data continues to be an area of active research in the field of privacy protection. Almost all existing privacy-preserving approaches to address this problem rely on heavyweight cryptographic techniques with a ...

In storage outsourcing services, clients store their data on a potentially untrusted server, which has more computational power and storage capacity than the individual clients. In this model, security properties such as integrity, authenticity, and ...

The rapid advances in the Information and Communication Technologies have brought to the development of on-demand high quality applications and services allowing users to easily access resources anywhere anytime. Users can pay for a service and access ...

This paper proposes a horizontal fragmentation method to preserve privacy in data outsourcing. The basic idea is to identify sensitive tuples, anonymize them based on a privacy model and store them at the external server. The remaining non-sensitive ...

For cloud-based outsourcing of confidential data, various techniques based on cryptography or data-fragmentation have been proposed, each with its own tradeoff between confidentiality, performance, and the set of supported queries. However, it is ...