«data integration»
۲۰۰٬۲۶۴ نتیجهMerkle Hash Tree based Techniques for Data Integrity of Outsourced Data
One of the problems associated with outsourcing data to cloud service providers is the data integrity of outsourced data. In this paper we present data integrity techniques for the outsourced data. Data integrity encompasses the completeness, correctness and freshness of the data
Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries
For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by scientific problem, by individual, and a variety of other factors. This paper compares technical app
Digital Watermarking Method for Data Integrity Protection in Wireless Sensor Networks
Wireless sensor networks are self-organized and data-centric, which have been well applied in many practical areas. But in these applications, data integrity from sensors has not been verified. Thereby in this paper, we have proposed a novel data integrity protection strategy bas
A semantic solution for data integration in mixed sensor networks
The number of sensors deployed for a myriad of applications is expected to increase dramatically in the coming few years. This is spurred by advances in wireless communications and the growing interest in wireless sensor networks. This growth will not only simplify the access to
Ontology Based Data Integration with User Feedback
Many applications need to access multiple heterogeneous data sources. The integration of these data sources raises several semantic heterogeneity problems. In existing systems, it is difficult to provide the high quality result to the end users due to the heterogeneity, inaccurac
Security Enhancement and Data Integrity Checking In Multi- Cloud Storage
Generally the cloud server act as a container which contains data or information. Providing Security in cloud is becoming a difficult task now days. Remote data integrity checking is of crucial importance in cloud storage. It can make the clients verify whether their outsourced d
Data Integration under Integrity Constraints
Data integration systems provide access to a set of heterogeneous, autonomous data sources through a so-called global schema. There are basically two approaches for designing a data integration system. In the global-centric approach, one defines the elements of the global schema
Framework to Improve Data Integrity in Multi Cloud Environment
Cloud computing is a network based environment where resources, information and software’s are shared and provided to the users according to their demands. Though cloud computing is being widely used in various fields, it has certain drawbacks. Security issue is a concern in clou
Data Integrity in Cloud Computing Security
Cloud computing requires comprehensive security solutions based upon many aspects of a large and loosely integrated system. The application software and databases in cloud computing are moved to the centralized large data centers, where the management of the data and services may
Data Integration throughDL-LiteA Ontologies
The goal of data integration is to provide a uniform access to a set of heterogeneous data sources, freeing the user from the knowledge about where the data are, how they are stored, and how they can be accessed. One of the outcomes of the research work carried out on data integr