Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIo...
Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing
About this item
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Author / Creator
Department of Computer Science, Kristianstad University, SE-291 88 Kristianstad, Sweden , Charles Sturt University, Australia , Kristiania University College, Department of Technology, Mobile Technology Lab, OSLO, Norway , Research Lab of AI and Information Security, Benazir Bhutto Shaheed University Lyari, Karachi, Sindh Pakistan , Department of Computer Science and Software Engineering, Jinnah University for Women, Pakistan , Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China , Department of Computer Science , Avdelningen för datavetenskap , Högskolan Kristianstad , Kristianstad University , Research environment of Computer science , Fakulteten för naturvetenskap , Faculty of Natural Science , Dootio, Mazhar Ali , Lakhan, Abdullah , Sodhro, Ali Hassan , Groenli, Tor Morten , Bawany, Narmeen Zakaria and Kumar, Samrat
Publisher
United States: AIMS Press
Journal title
Language
English
Formats
Publication information
Publisher
United States: AIMS Press
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More information
Scope and Contents
Contents
These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare goals. The applications have these tasks such as online healthcare monitoring, live heartbeat streaming, and blood pressure monit...
Alternative Titles
Full title
Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing
Authors, Artists and Contributors
Author / Creator
Charles Sturt University, Australia
Kristiania University College, Department of Technology, Mobile Technology Lab, OSLO, Norway
Research Lab of AI and Information Security, Benazir Bhutto Shaheed University Lyari, Karachi, Sindh Pakistan
Department of Computer Science and Software Engineering, Jinnah University for Women, Pakistan
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China
Department of Computer Science
Avdelningen för datavetenskap
Högskolan Kristianstad
Kristianstad University
Research environment of Computer science
Fakulteten för naturvetenskap
Faculty of Natural Science
Dootio, Mazhar Ali
Lakhan, Abdullah
Sodhro, Ali Hassan
Groenli, Tor Morten
Bawany, Narmeen Zakaria
Kumar, Samrat
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_fa9e762368ab453f899ccb085f76c5be
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fa9e762368ab453f899ccb085f76c5be
Other Identifiers
ISSN
1551-0018,1547-1063
E-ISSN
1551-0018
DOI
10.3934/mbe.2022024
