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Machine Learning Methods for Trust-based Selection of Web Services

Machine Learning Methods for Trust-based Selection of Web Services

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9928303

Machine Learning Methods for Trust-based Selection of Web Services

About this item

Full title

Machine Learning Methods for Trust-based Selection of Web Services

Publisher

KSII, the Korean Society for Internet Information

Journal title

KSII Transactions on Internet and Information Systems, 2022, 16(1), , pp.38-59

Language

English

Formats

Publication information

Publisher

KSII, the Korean Society for Internet Information

More information

Scope and Contents

Contents

Web services instances can be classified into two categories, namely trusted and untrusted from users. A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service. Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users. To perform...

Alternative Titles

Full title

Machine Learning Methods for Trust-based Selection of Web Services

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9928303

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9928303

Other Identifiers

ISSN

1976-7277

E-ISSN

1976-7277

DOI

10.3837/tiis.2022.01.003

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