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D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2275072249

D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

About this item

Full title

D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Mathematical problems in engineering, 2019, Vol.2019 (2019), p.1-11

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

As a novel and promising technology for 5G networks, device-to-device (D2D) communication has garnered a significant amount of research interest because of the advantages of rapid sharing and high accuracy on deliveries as well as its variety of applications and services. Big data technology offers unprecedented opportunities and poses a daunting c...

Alternative Titles

Full title

D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2275072249

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2275072249

Other Identifiers

ISSN

1024-123X

E-ISSN

1563-5147

DOI

10.1155/2019/2076542

How to access this item