Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT
<div><p>The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new opportunities in the new Industrial Transformation. There have been notable challenges regarding the security of data and challenges related to privacy when collecting real-time and automa...
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| مؤلفون آخرون: | , , , , , , , |
| منشور في: |
2021
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| الموضوعات: | |
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| _version_ | 1864513517865926656 |
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| author | Arumugam K (18456690) |
| author2 | Srimathi J (18456693) Sudhanshu Maurya (18456696) Senoj Joseph (18456699) Anju Asokan (18456702) Poongodi M (18394809) Abdullah A. Algethami (18456705) Mounir Hamdi (14150652) Hafiz Tayyab Rauf (10220516) |
| author2_role | author author author author author author author author |
| author_facet | Arumugam K (18456690) Srimathi J (18456693) Sudhanshu Maurya (18456696) Senoj Joseph (18456699) Anju Asokan (18456702) Poongodi M (18394809) Abdullah A. Algethami (18456705) Mounir Hamdi (14150652) Hafiz Tayyab Rauf (10220516) |
| author_role | author |
| dc.creator.none.fl_str_mv | Arumugam K (18456690) Srimathi J (18456693) Sudhanshu Maurya (18456696) Senoj Joseph (18456699) Anju Asokan (18456702) Poongodi M (18394809) Abdullah A. Algethami (18456705) Mounir Hamdi (14150652) Hafiz Tayyab Rauf (10220516) |
| dc.date.none.fl_str_mv | 2021-11-23T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/s21237793 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Federated_Transfer_Learning_for_Authentication_and_Privacy_Preservation_Using_Novel_Supportive_Twin_Delayed_DDPG_S-TD3_Algorithm_for_IIoT/25709817 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Distributed computing and systems software Internet of Things authentication privacy security services |
| dc.title.none.fl_str_mv | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new opportunities in the new Industrial Transformation. There have been notable challenges regarding the security of data and challenges related to privacy when collecting real-time and automatic data while observing applications in the industry. This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. In FT-Block (Federated transfer learning blockchain), several blockchains are applied to preserve privacy and security for all types of industrial applications. Additionally, by introducing the authentication mechanism based on transfer learning, blockchains can enhance the preservation and security standards for industrial applications. Specifically, Novel Supportive Twin Delayed DDPG trains the user model to authenticate specific regions. As it is considered one of the most open and scalable interacting platforms of information, it successfully helps in the positive transfer of different kinds of data between devices in more significant and local operations of the industry. It is mainly due to a single authentication factor, and the poor adaptation to regular increases in the number of users and different requirements that make the current authentication mechanism suffer a lot in IIoT. As a result, it has been very clearly observed that the given solutions are very useful.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Sensors<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s21237793" target="_blank">https://dx.doi.org/10.3390/s21237793</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_fbee33da120ad4687aad574e2816f690 |
| identifier_str_mv | 10.3390/s21237793 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25709817 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoTArumugam K (18456690)Srimathi J (18456693)Sudhanshu Maurya (18456696)Senoj Joseph (18456699)Anju Asokan (18456702)Poongodi M (18394809)Abdullah A. Algethami (18456705)Mounir Hamdi (14150652)Hafiz Tayyab Rauf (10220516)Information and computing sciencesDistributed computing and systems softwareInternet of Thingsauthenticationprivacysecurity services<div><p>The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new opportunities in the new Industrial Transformation. There have been notable challenges regarding the security of data and challenges related to privacy when collecting real-time and automatic data while observing applications in the industry. This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. In FT-Block (Federated transfer learning blockchain), several blockchains are applied to preserve privacy and security for all types of industrial applications. Additionally, by introducing the authentication mechanism based on transfer learning, blockchains can enhance the preservation and security standards for industrial applications. Specifically, Novel Supportive Twin Delayed DDPG trains the user model to authenticate specific regions. As it is considered one of the most open and scalable interacting platforms of information, it successfully helps in the positive transfer of different kinds of data between devices in more significant and local operations of the industry. It is mainly due to a single authentication factor, and the poor adaptation to regular increases in the number of users and different requirements that make the current authentication mechanism suffer a lot in IIoT. As a result, it has been very clearly observed that the given solutions are very useful.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Sensors<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s21237793" target="_blank">https://dx.doi.org/10.3390/s21237793</a></p>2021-11-23T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/s21237793https://figshare.com/articles/journal_contribution/Federated_Transfer_Learning_for_Authentication_and_Privacy_Preservation_Using_Novel_Supportive_Twin_Delayed_DDPG_S-TD3_Algorithm_for_IIoT/25709817CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257098172021-11-23T03:00:00Z |
| spellingShingle | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT Arumugam K (18456690) Information and computing sciences Distributed computing and systems software Internet of Things authentication privacy security services |
| status_str | publishedVersion |
| title | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| title_full | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| title_fullStr | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| title_full_unstemmed | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| title_short | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| title_sort | Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT |
| topic | Information and computing sciences Distributed computing and systems software Internet of Things authentication privacy security services |