Multidimensional data provides enormous opportunities in a variety of applications. Recent research has indicated the failure of existing sanitization techniques （e.g., k-anonymity） to provide rigorous privacy guara...Multidimensional data provides enormous opportunities in a variety of applications. Recent research has indicated the failure of existing sanitization techniques （e.g., k-anonymity） to provide rigorous privacy guarantees. Privacy- preserving multidimensional data publishing currently lacks a solid theoretical foundation. It is urgent to develop new techniques with provable privacy guarantees, e-Differential privacy is the only method that can provide such guarantees. In this paper, we propose a multidimensional data publishing scheme that ensures c-differential privacy while providing accurate results for query processing. The proposed solution applies nonstandard wavelet transforms on the raw multidimensional data and adds noise to guarantee c-differential privacy. Then, the scheme processes arbitrarily queries directly in the noisy wavelet- coefficient synopses of relational tables and expands the noisy wavelet coefficients back into noisy relational tuples until the end result of the query. Moreover, experimental results demonstrate the high accuracy and effectiveness of our approach.展开更多
Public data empower the development of digital economy.On the basis of conceptual definition and scope framing,the legal attributes of public data should be used to determine the attribution of the right to use,and to...Public data empower the development of digital economy.On the basis of conceptual definition and scope framing,the legal attributes of public data should be used to determine the attribution of the right to use,and to deduce the mechanism of utilization of public data with public nature as the logical starting point.Based on the current situa⁃tion,the use of public data faces multiple difficulties in terms of normative basis,boundary delimitation,procedural rules,and protection policies.Therefore,publicity should be the core principle and the principle of convenience should be deepened,so as to clarify the boundaries between the use of public data and the protection of personal information rights and interests as well as legitimate commercial behavior.As a single platform can hardly meet the requirements of use,it should optimize the service procedures to adapt to different stages of use,standardize the way of data use super⁃vision,and clarify the supervisory responsibilities of the government and the platform.展开更多
Storage auditing and client-side deduplication techniques have been proposed to assure data integrity and improve storage efficiency, respectively. Recently, a few schemes start to consider these two different aspects...Storage auditing and client-side deduplication techniques have been proposed to assure data integrity and improve storage efficiency, respectively. Recently, a few schemes start to consider these two different aspects together. However, these schemes either only support plaintext data file or have been proved insecure. In this paper, we propose a public auditing scheme for cloud storage systems, in which deduplication of encrypted data and data integrity checking can be achieved within the same framework. The cloud server can correctly check the ownership for new owners and the auditor can correctly check the integrity of deduplicated data. Our scheme supports deduplication of encrypted data by using the method of proxy re-encryption and also achieves deduplication of data tags by aggregating the tags from different owners. The analysis and experiment results show that our scheme is provably secure and efficient.展开更多
基金the National Basic Research Program of China under Grant 2013CB338004,Doctoral Program of Higher Education of China under Grant No.20120073120034,National Natural Science Foundation of China under Grants No.61070204,61101108,and National S&T Major Program under Grant No.2011ZX03002-005-01
文摘Multidimensional data provides enormous opportunities in a variety of applications. Recent research has indicated the failure of existing sanitization techniques （e.g., k-anonymity） to provide rigorous privacy guarantees. Privacy- preserving multidimensional data publishing currently lacks a solid theoretical foundation. It is urgent to develop new techniques with provable privacy guarantees, e-Differential privacy is the only method that can provide such guarantees. In this paper, we propose a multidimensional data publishing scheme that ensures c-differential privacy while providing accurate results for query processing. The proposed solution applies nonstandard wavelet transforms on the raw multidimensional data and adds noise to guarantee c-differential privacy. Then, the scheme processes arbitrarily queries directly in the noisy wavelet- coefficient synopses of relational tables and expands the noisy wavelet coefficients back into noisy relational tuples until the end result of the query. Moreover, experimental results demonstrate the high accuracy and effectiveness of our approach.
基金Key Project of Scientific Research in Universities in Anhui Province"Legislation Research on Intellectual Property Protection of Data"(2022AH050023)。
文摘Public data empower the development of digital economy.On the basis of conceptual definition and scope framing,the legal attributes of public data should be used to determine the attribution of the right to use,and to deduce the mechanism of utilization of public data with public nature as the logical starting point.Based on the current situa⁃tion,the use of public data faces multiple difficulties in terms of normative basis,boundary delimitation,procedural rules,and protection policies.Therefore,publicity should be the core principle and the principle of convenience should be deepened,so as to clarify the boundaries between the use of public data and the protection of personal information rights and interests as well as legitimate commercial behavior.As a single platform can hardly meet the requirements of use,it should optimize the service procedures to adapt to different stages of use,standardize the way of data use super⁃vision,and clarify the supervisory responsibilities of the government and the platform.
基金Supported by the National Natural Science Foundation of China(61373040,61173137)the Ph.D.Programs Foundation of Ministry of Education of China(20120141110002)the Key Project of Natural Science Foundation of Hubei Province(2010CDA004)
文摘Storage auditing and client-side deduplication techniques have been proposed to assure data integrity and improve storage efficiency, respectively. Recently, a few schemes start to consider these two different aspects together. However, these schemes either only support plaintext data file or have been proved insecure. In this paper, we propose a public auditing scheme for cloud storage systems, in which deduplication of encrypted data and data integrity checking can be achieved within the same framework. The cloud server can correctly check the ownership for new owners and the auditor can correctly check the integrity of deduplicated data. Our scheme supports deduplication of encrypted data by using the method of proxy re-encryption and also achieves deduplication of data tags by aggregating the tags from different owners. The analysis and experiment results show that our scheme is provably secure and efficient.
