On the research work of CORBA technology,this paper proposes a new database publishing method:the database publishing based on CORBA. The paper outlines CORBA firstly,then puts forward the structure of the database pu...On the research work of CORBA technology,this paper proposes a new database publishing method:the database publishing based on CORBA. The paper outlines CORBA firstly,then puts forward the structure of the database publishing model based on CORBA,at last the concrete scheme of this structure model is proposed.展开更多
Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity atta...Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity attack and the similarity attack. This paper proposes a novel model, （w,γ, k）-anonymity, to avoid generality attacks on both cases of numeric and categorical attributes. We show that the optimal （w, γ, k）-anonymity problem is NP-hard and conduct the Top-down Local recoding （TDL） algorithm to implement the model. Our experiments validate the improvement of our model with real data.展开更多
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
Corporate governance is a relatively young field. Nonetheless, the research in this domain has been growing at an impressive speed in recent decades. Analysis of corporate governance has become a key factor in our und...Corporate governance is a relatively young field. Nonetheless, the research in this domain has been growing at an impressive speed in recent decades. Analysis of corporate governance has become a key factor in our understanding of corporations in recent years, and an indicator of investor confidence in the decisions is taken by the managers and board of directors of the listed companies. This paper evaluates both qualitative and quantitative techniques that are implied in corporate governance field. The methodological techniques are a key element of the research process In this article, the authors developed a content analysis of the published empirical research in order to expose a possible gap between what is currently done versus what needs to be done in terms of the techniques of data analysis used in corporate governance field. The results of this study allow the authors to draw some valuable conclusions regarding the trends in methodological techniques that support the evolution of corporate governance. The findings indicate that, in general, the researchers are inclined to more sophisticated quantitative techniques. However, the use of qualitative techniques remains preponderant among corporate governance scholars.展开更多
文摘On the research work of CORBA technology,this paper proposes a new database publishing method:the database publishing based on CORBA. The paper outlines CORBA firstly,then puts forward the structure of the database publishing model based on CORBA,at last the concrete scheme of this structure model is proposed.
基金supported in part by Research Fund for the Doctoral Program of Higher Education of China(No.20120009110007)Program for Innovative Research Team in University of Ministry of Education of China (No.IRT201206)+3 种基金Program for New Century Excellent Talents in University(NCET-110565)the Fundamental Research Funds for the Central Universities(No.2012JBZ010)the Open Project Program of Beijing Key Laboratory of Trusted Computing at Beijing University of TechnologyBeijing Higher Education Young Elite Teacher Project(No. YETP0542)
文摘Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity attack and the similarity attack. This paper proposes a novel model, （w,γ, k）-anonymity, to avoid generality attacks on both cases of numeric and categorical attributes. We show that the optimal （w, γ, k）-anonymity problem is NP-hard and conduct the Top-down Local recoding （TDL） algorithm to implement the model. Our experiments validate the improvement of our model with real data.
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.
文摘Corporate governance is a relatively young field. Nonetheless, the research in this domain has been growing at an impressive speed in recent decades. Analysis of corporate governance has become a key factor in our understanding of corporations in recent years, and an indicator of investor confidence in the decisions is taken by the managers and board of directors of the listed companies. This paper evaluates both qualitative and quantitative techniques that are implied in corporate governance field. The methodological techniques are a key element of the research process In this article, the authors developed a content analysis of the published empirical research in order to expose a possible gap between what is currently done versus what needs to be done in terms of the techniques of data analysis used in corporate governance field. The results of this study allow the authors to draw some valuable conclusions regarding the trends in methodological techniques that support the evolution of corporate governance. The findings indicate that, in general, the researchers are inclined to more sophisticated quantitative techniques. However, the use of qualitative techniques remains preponderant among corporate governance scholars.
