Secure sensitive data sharing on a big data platform

Dong, Xiaojuan; Li, Ruixuan; He, Heng; Zhou, Wanwan; Xue, Zhengyuan; Wu, Hao

doi:10.1109/tst.2015.7040516

Cited by 69 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[3] Verilerin paylaşılması esnasında hassas verilerin güvenliğinin sağlanması, veri alışverişi esnasından kümeleme sorunlarına otomatik çözümler sağlanması, verilerin bulut ortamında aktarım problemlerine çözümler sağlanması veri platformlarının mimarisinde çözülmesi gereken problemler olarak tespit edilmiştir. [2] Ayrıca yine Veri paylaşım platformlarında meta veri yönetimi, veri modellenmesi ve veri yönetişimi içeren bağlantılı bir düzü süreç, rol ve kural tabanlı yapının mimarilerde yer alması gerekliliği görülmektedir. Bir veri paylaşımı yaşam döngüsü boyunca meta verilerin nasıl ele alınması ve sürdürülmesi gerektiğine ilişkin veri yönetimine ilişkin standartlar ve politikalar içermelidir.…”

Section: Literatür öZetiunclassified

Document Based Data Sharing Platform Architecture

Karabacak

Okay

Aktaş

2022

OPRD

View full text Add to dashboard Cite

The Big Data contains essential information for large organizations to provide new insight potential. Due to the new technological developments that have developed with Industry 4.0, data is produced in increasing volumes. Data Sharing Platforms are needed to cope with the volumes of this data and to transform data into valuable information. In line with this need, a document-based data-sharing platform software architecture is proposed within the scope of this research. The Data Sharing Platform Architecture we recommend; is designed for a document-based data management platform designed to process data at scale for analytical purposes. In the proposed study, Metadata management is used to prevent the large volume of data obtained from becoming complex and unusable. The proposed architecture has a metadata store with an enriched toolset to identify the data owner and store the version and lineage information. In the study, to provide easy access to the correct data, the locations of the data needed are shown to the users in detailed figures. To clean the data in the most appropriate quality, additional development studies are integrated into the system that will enable the user to pre-process the data. There is an operational security control to use the data securely. A standard user group management, which may vary according to operating systems, is integrated into the proposed software architecture. Again, the proposed software architecture categorizes the data by tagging it in stochastic data sets. It can offer suggestions in a way that can make suggestions according to the roles of the following users. In addition, a version and rule adaptation method is provided to deal with changes over time. A personalized rule customization method is proposed to meet the system's need to respond to the specific needs of each user.We present the details of the document-based data-sharing platform software architecture we are developing within the scope of this conference paper.

show abstract

Section: Literatür öZetiunclassified

Document Based Data Sharing Platform Architecture

Karabacak

Okay

Aktaş

2022

OPRD

View full text Add to dashboard Cite

show abstract

“…It consists of sharing and exposing data, insights and knowledge created through out each phase. It is shared either internally or with partners, and sometimes with everyone as open data [60][61][62][63][64]. Data Exposition is often a part of a data strategy with two possible usage scenarios:…”

Section: Data Expositionmentioning

confidence: 99%

Big data monetization throughout Big Data Value Chain: a comprehensive review

et al. 2020

View full text Add to dashboard Cite

Value creation is the rational goal of any organization. However, in a changing world, in terms of data, it is very difficult to find strategies to sustainably generate new value and improve operations. In this respect, generating value may mean revisiting some deeplyheld conceptions of different processes. For this, each organization has to ensure an efficient and updated management of value creation processes for both inter-organization and partners. Value chain (VC) is one of the key solutions to such dilemmas.

show abstract

“…Data sharing allows data exchange and is more difficult to monitor data leaks than traditional data regulation [37]. The supervision of data leakage can be divided into nationwide level and enterprise level.…”

Section: Data Supervisionmentioning

confidence: 99%

Corporate Data Sharing, Leakage, and Supervision Mechanism Research

2021

Sustainability

View full text Add to dashboard Cite

Data sharing helps to make full use of each other’s data and enable the digital economy. With the gradual rise of corporate data sharing, the frequent occurrence of data leakage events highlights the dilemma of data sharing, leakage and supervision, which infringes on the data assets of the leaked party. Our paper aims to design an effective data supervision mechanism and achieve the stability of data sharing alliance. Therefore, this paper considers the data technology capabilities of both parties of the data sharing alliance and the benefits and loss of data leakage, establishes the game model and supervision mechanism of data sharing, leakage and supervision under the condition of complete information, and analyzes the game equilibrium and the influence of different supervision levels on the company’s data sharing and leakage behavior. The results show that the company sharing and leaking behavior is affected by both the level of data supervision fines and the relative technical level. Our model can make up for the weakness of the low-tech company, control the company’s choice of leaking behaviors, and ensure the stability of data sharing alliance by designing reasonable data supervision mechanism, especially the severe data supervision strategy.

show abstract

Secure sensitive data sharing on a big data platform

Cited by 69 publications

References 20 publications

Document Based Data Sharing Platform Architecture

Document Based Data Sharing Platform Architecture

Big data monetization throughout Big Data Value Chain: a comprehensive review

Corporate Data Sharing, Leakage, and Supervision Mechanism Research

Contact Info

Product

Resources

About