Preprint: Privacy-preserving IoT Data Sharing Scheme

Data sharing can be granted using different factors one of which is something in a users or an IoT devices environment which is in this paper broadcast signals. Using broadcast signals to measure Received Signal Strength Indicator values and Machine Learning models this paper implements an IoT data...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: AlQahtani, Ali Abdullah S, Alamleh, Hosam, Alrawili, Reem
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator AlQahtani, Ali Abdullah S
Alamleh, Hosam
Alrawili, Reem
description Data sharing can be granted using different factors one of which is something in a users or an IoT devices environment which is in this paper broadcast signals. Using broadcast signals to measure Received Signal Strength Indicator values and Machine Learning models this paper implements an IoT data sharing scheme based on something that is in an IoT devices environment. The proposed scheme is experimentally tested using different ML models and shows 97.78 percent as its highest accuracy.
doi_str_mv 10.48550/arxiv.2209.13073
format Article
fullrecord <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2209_13073</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2209_13073</sourcerecordid><originalsourceid>FETCH-LOGICAL-a673-62d560582c11927046863923c1fbb1078320117752cac43676b265ff7a443563</originalsourceid><addsrcrecordid>eNotzsFqwkAUheHZdCHWB3DVvEDSmXtn7iTuSmpbIVAh7sPNONGA2jBKaN5eo64O_IvDJ8RcyUSnxsh3Dv9tnwDILFEoLU6EXgffhfZ0WUTr0PbshrgL_uxD35520epvE33yhaNyz2EMpdv7o38VLw0fzn723Kkov5ab_Ccufr9X-UcRM1mMCbaGpEnBKZWBlZpSwgzQqaaulbQpglTKWgOOnUayVAOZprGsNRrCqXh7vN7V1U155DBUo7666_EKTjw8jA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Preprint: Privacy-preserving IoT Data Sharing Scheme</title><source>arXiv.org</source><creator>AlQahtani, Ali Abdullah S ; Alamleh, Hosam ; Alrawili, Reem</creator><creatorcontrib>AlQahtani, Ali Abdullah S ; Alamleh, Hosam ; Alrawili, Reem</creatorcontrib><description>Data sharing can be granted using different factors one of which is something in a users or an IoT devices environment which is in this paper broadcast signals. Using broadcast signals to measure Received Signal Strength Indicator values and Machine Learning models this paper implements an IoT data sharing scheme based on something that is in an IoT devices environment. The proposed scheme is experimentally tested using different ML models and shows 97.78 percent as its highest accuracy.</description><identifier>DOI: 10.48550/arxiv.2209.13073</identifier><language>eng</language><subject>Computer Science - Cryptography and Security</subject><creationdate>2022-09</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2209.13073$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2209.13073$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>AlQahtani, Ali Abdullah S</creatorcontrib><creatorcontrib>Alamleh, Hosam</creatorcontrib><creatorcontrib>Alrawili, Reem</creatorcontrib><title>Preprint: Privacy-preserving IoT Data Sharing Scheme</title><description>Data sharing can be granted using different factors one of which is something in a users or an IoT devices environment which is in this paper broadcast signals. Using broadcast signals to measure Received Signal Strength Indicator values and Machine Learning models this paper implements an IoT data sharing scheme based on something that is in an IoT devices environment. The proposed scheme is experimentally tested using different ML models and shows 97.78 percent as its highest accuracy.</description><subject>Computer Science - Cryptography and Security</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzsFqwkAUheHZdCHWB3DVvEDSmXtn7iTuSmpbIVAh7sPNONGA2jBKaN5eo64O_IvDJ8RcyUSnxsh3Dv9tnwDILFEoLU6EXgffhfZ0WUTr0PbshrgL_uxD35520epvE33yhaNyz2EMpdv7o38VLw0fzn723Kkov5ab_Ccufr9X-UcRM1mMCbaGpEnBKZWBlZpSwgzQqaaulbQpglTKWgOOnUayVAOZprGsNRrCqXh7vN7V1U155DBUo7666_EKTjw8jA</recordid><startdate>20220926</startdate><enddate>20220926</enddate><creator>AlQahtani, Ali Abdullah S</creator><creator>Alamleh, Hosam</creator><creator>Alrawili, Reem</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220926</creationdate><title>Preprint: Privacy-preserving IoT Data Sharing Scheme</title><author>AlQahtani, Ali Abdullah S ; Alamleh, Hosam ; Alrawili, Reem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a673-62d560582c11927046863923c1fbb1078320117752cac43676b265ff7a443563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Cryptography and Security</topic><toplevel>online_resources</toplevel><creatorcontrib>AlQahtani, Ali Abdullah S</creatorcontrib><creatorcontrib>Alamleh, Hosam</creatorcontrib><creatorcontrib>Alrawili, Reem</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>AlQahtani, Ali Abdullah S</au><au>Alamleh, Hosam</au><au>Alrawili, Reem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preprint: Privacy-preserving IoT Data Sharing Scheme</atitle><date>2022-09-26</date><risdate>2022</risdate><abstract>Data sharing can be granted using different factors one of which is something in a users or an IoT devices environment which is in this paper broadcast signals. Using broadcast signals to measure Received Signal Strength Indicator values and Machine Learning models this paper implements an IoT data sharing scheme based on something that is in an IoT devices environment. The proposed scheme is experimentally tested using different ML models and shows 97.78 percent as its highest accuracy.</abstract><doi>10.48550/arxiv.2209.13073</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.48550/arxiv.2209.13073
ispartof
issn
language eng
recordid cdi_arxiv_primary_2209_13073
source arXiv.org
subjects Computer Science - Cryptography and Security
title Preprint: Privacy-preserving IoT Data Sharing Scheme
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T16%3A45%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Preprint:%20Privacy-preserving%20IoT%20Data%20Sharing%20Scheme&rft.au=AlQahtani,%20Ali%20Abdullah%20S&rft.date=2022-09-26&rft_id=info:doi/10.48550/arxiv.2209.13073&rft_dat=%3Carxiv_GOX%3E2209_13073%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true