A NOVEL APPROACH FOR MULTI SHARING AUTHENTICATED FILTERED DATA FOR BIG DATA STORAGE

The requirement of unharmed big data storage is greater helpful than ever to date. The prime concern of the service is to assurance the privacy of the data. Nevertheless, the anonymity of the service providers, one of the greatest crucial appearances of privacy, should be deliberate concurrently. Furthermore, the service also should contribute realistic and delicate encrypted data sharing like that a data owner is allowed to share a cipher text of data between others under some specified conditions. In this mechanism the advantage of proxy re-encryption technique are employed in which only the cipher text to be shared securely and conditionally over multiple times. It also ensures that, original message and information identity of cipher text senders and it is not vulnerable to cipher text attacks. Furthermore, this paper shows that the new primitive is secure against chosen-cipher text attacks in the standard model

Identity-based data storage in cloud computing

Identity-based proxy re-encryption schemes have been proposed to shift the burden of managing numerous files from the owner to a proxy server. Nevertheless, the existing solutions suffer from several drawbacks. First, the access permission is determined by the central authority, which makes the scheme impractical. Second, they are insecure against collusion attacks. Finally, only queries from the same domain (intra-domain) are considered. We note that one of the main applications of identity-based proxy re-encryption schemes is in the cloud computing scenario. Nevertheless, in this scenario, users in different domains can share files with each other. Therefore, the existing solutions do not actually solve the motivating scenario, when the scheme is applicable for cloud computing. Hence, it remains an interesting and challenging research problem to design an identity-based data storage scheme which is secure against collusion attacks and supports intra-domain and inter-domain queries. In this paper, we propose an identity-based data storage scheme where both queries from the intra-domain and inter-domain are considered and collusion attacks can be resisted. Furthermore, the access permission can be determined by the owner independently. © 2012 Elsevier B.V. All rights reserved

A new encrypted data switching Protocol: Bridging IBE and ABE without loss of data confidentiality

Encryption technologies have become one of the most prevalent solutions to safeguard data confidentiality in may real-world applications, e.g., cloud-based data storage systems. Encryption outputting a relatively “static” format of encrypted data, however, may hinder further data operations, for example, encrypted data may need to be “transformed” into other formats for either computation or other purposes. In order to enable an encryption to be used in another device equipped with a different encryption mechanism, the concept of encryption switching is first proposed in CRYPTO 2016 for conversion particularly between Paillier and ElGamal encryptions. This paper considers the conversion between conventional identity-based and attribute-based encryptions and further proposes a concrete construction via the technique of proxy reencryption. The construction is proved to be CPA secure in the standard model under q-decisional parallel bilinear Diffie-Hellman exponent assumption. The performance comparisons highlight that our bridging mechanism reduces computation and communication cost on client side, especially when the data of client is encrypted and outsourced to remote cloud. The computational costs w.r.t. re-encryption (on server side) and decryption (on client side) are acceptable in practice

Data Service Outsourcing and Privacy Protection in Mobile Internet

Mobile Internet data have the characteristics of large scale, variety of patterns, and complex association. On the one hand, it needs efficient data processing model to provide support for data services, and on the other hand, it needs certain computing resources to provide data security services. Due to the limited resources of mobile terminals, it is impossible to complete large-scale data computation and storage. However, outsourcing to third parties may cause some risks in user privacy protection. This monography focuses on key technologies of data service outsourcing and privacy protection, including the existing methods of data analysis and processing, the fine-grained data access control through effective user privacy protection mechanism, and the data sharing in the mobile Internet