Securing Big Data for Knowledge Management into a Circular Economy
The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information...
Gespeichert in:
| Veröffentlicht in: | Sustainability 2022-11, Vol.14 (22), p.14851 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 22 |
| container_start_page | 14851 |
| container_title | Sustainability |
| container_volume | 14 |
| creator | Bucea-Manea-Tonis, Radu Kuleto, Valentin Plojović, Šemsudin A Beteringhe, Adrian Ilić, Milena P |
| description | The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information about actions to be taken by the system may expose the values of the system’s parameters. Securing the data will stop any third party from interfering with the communication and sending its commands to the remote system. Thus, the article presents a case study that proves how to secure BD read/write operations using the Gauss function and how to use Secure Shell (SSH), a cryptographic network protocol, to generate key-value pairs for safely operating services over an unsecured network. |
| doi_str_mv | 10.3390/su142214851 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2739479954</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A747189448</galeid><sourcerecordid>A747189448</sourcerecordid><originalsourceid>FETCH-LOGICAL-c329t-971240d6bf3ac088caa7f94aa014c0a24c125d6e4776af47cf60360c46c62ddf3</originalsourceid><addsrcrecordid>eNpVkU1Lw0AQhoMoWGpP_oEFTyKp-5Vs9tjW-oEVwep5GTe7ISXJ1t0E7b93pR7amcMMw_PODLxJcknwlDGJb8NAOKWEFxk5SUYUC5ISnOHTg_48mYSwwTEYI5Lko2S-NnrwdVeheV2hO-gBWefRc-e-G1NWBr1AB5VpTdejuusdArSovR4a8GipXefa3UVyZqEJZvJfx8nH_fJ98ZiuXh-eFrNVqhmVfSoFoRyX-adloHFRaABhJQfAhGsMlGtCszI3XIgcLBfa5pjlWPNc57QsLRsnV_u9W---BhN6tXGD7-JJRQWTXEiZ8UhN91QFjVF1Z13vQccsTVvHh42t43wmuCCF5LyIgusjQWR689NXMISgntZvx-zNntXeheCNVVtft-B3imD1Z4I6MIH9AsoCdog</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2739479954</pqid></control><display><type>article</type><title>Securing Big Data for Knowledge Management into a Circular Economy</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Bucea-Manea-Tonis, Radu ; Kuleto, Valentin ; Plojović, Šemsudin A ; Beteringhe, Adrian ; Ilić, Milena P</creator><creatorcontrib>Bucea-Manea-Tonis, Radu ; Kuleto, Valentin ; Plojović, Šemsudin A ; Beteringhe, Adrian ; Ilić, Milena P</creatorcontrib><description>The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information about actions to be taken by the system may expose the values of the system’s parameters. Securing the data will stop any third party from interfering with the communication and sending its commands to the remote system. Thus, the article presents a case study that proves how to secure BD read/write operations using the Gauss function and how to use Secure Shell (SSH), a cryptographic network protocol, to generate key-value pairs for safely operating services over an unsecured network.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su142214851</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Access control ; Big Data ; Blockchain ; Circular economy ; Cloud computing ; Consumption ; Data base management systems ; Data compression ; Data management ; Data security ; Data transfer (computers) ; Data warehouses ; Economic growth ; Efficient markets ; Engineering research ; GDP ; Government aid ; Gross Domestic Product ; Innovations ; Knowledge management ; Methods ; Relational data bases ; Risk management ; Servers ; Sustainability ; Values</subject><ispartof>Sustainability, 2022-11, Vol.14 (22), p.14851</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c329t-971240d6bf3ac088caa7f94aa014c0a24c125d6e4776af47cf60360c46c62ddf3</cites><orcidid>0000-0002-7811-5436 ; 0000-0001-8472-0993 ; 0000-0001-6417-5115 ; 0000-0002-9719-175X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Bucea-Manea-Tonis, Radu</creatorcontrib><creatorcontrib>Kuleto, Valentin</creatorcontrib><creatorcontrib>Plojović, Šemsudin A</creatorcontrib><creatorcontrib>Beteringhe, Adrian</creatorcontrib><creatorcontrib>Ilić, Milena P</creatorcontrib><title>Securing Big Data for Knowledge Management into a Circular Economy</title><title>Sustainability</title><description>The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information about actions to be taken by the system may expose the values of the system’s parameters. Securing the data will stop any third party from interfering with the communication and sending its commands to the remote system. Thus, the article presents a case study that proves how to secure BD read/write operations using the Gauss function and how to use Secure Shell (SSH), a cryptographic network protocol, to generate key-value pairs for safely operating services over an unsecured network.</description><subject>Access control</subject><subject>Big Data</subject><subject>Blockchain</subject><subject>Circular economy</subject><subject>Cloud computing</subject><subject>Consumption</subject><subject>Data base management systems</subject><subject>Data compression</subject><subject>Data management</subject><subject>Data security</subject><subject>Data transfer (computers)</subject><subject>Data warehouses</subject><subject>Economic growth</subject><subject>Efficient markets</subject><subject>Engineering research</subject><subject>GDP</subject><subject>Government aid</subject><subject>Gross Domestic Product</subject><subject>Innovations</subject><subject>Knowledge management</subject><subject>Methods</subject><subject>Relational data bases</subject><subject>Risk management</subject><subject>Servers</subject><subject>Sustainability</subject><subject>Values</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkU1Lw0AQhoMoWGpP_oEFTyKp-5Vs9tjW-oEVwep5GTe7ISXJ1t0E7b93pR7amcMMw_PODLxJcknwlDGJb8NAOKWEFxk5SUYUC5ISnOHTg_48mYSwwTEYI5Lko2S-NnrwdVeheV2hO-gBWefRc-e-G1NWBr1AB5VpTdejuusdArSovR4a8GipXefa3UVyZqEJZvJfx8nH_fJ98ZiuXh-eFrNVqhmVfSoFoRyX-adloHFRaABhJQfAhGsMlGtCszI3XIgcLBfa5pjlWPNc57QsLRsnV_u9W---BhN6tXGD7-JJRQWTXEiZ8UhN91QFjVF1Z13vQccsTVvHh42t43wmuCCF5LyIgusjQWR689NXMISgntZvx-zNntXeheCNVVtft-B3imD1Z4I6MIH9AsoCdog</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Bucea-Manea-Tonis, Radu</creator><creator>Kuleto, Valentin</creator><creator>Plojović, Šemsudin A</creator><creator>Beteringhe, Adrian</creator><creator>Ilić, Milena P</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-7811-5436</orcidid><orcidid>https://orcid.org/0000-0001-8472-0993</orcidid><orcidid>https://orcid.org/0000-0001-6417-5115</orcidid><orcidid>https://orcid.org/0000-0002-9719-175X</orcidid></search><sort><creationdate>20221101</creationdate><title>Securing Big Data for Knowledge Management into a Circular Economy</title><author>Bucea-Manea-Tonis, Radu ; Kuleto, Valentin ; Plojović, Šemsudin A ; Beteringhe, Adrian ; Ilić, Milena P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-971240d6bf3ac088caa7f94aa014c0a24c125d6e4776af47cf60360c46c62ddf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Access control</topic><topic>Big Data</topic><topic>Blockchain</topic><topic>Circular economy</topic><topic>Cloud computing</topic><topic>Consumption</topic><topic>Data base management systems</topic><topic>Data compression</topic><topic>Data management</topic><topic>Data security</topic><topic>Data transfer (computers)</topic><topic>Data warehouses</topic><topic>Economic growth</topic><topic>Efficient markets</topic><topic>Engineering research</topic><topic>GDP</topic><topic>Government aid</topic><topic>Gross Domestic Product</topic><topic>Innovations</topic><topic>Knowledge management</topic><topic>Methods</topic><topic>Relational data bases</topic><topic>Risk management</topic><topic>Servers</topic><topic>Sustainability</topic><topic>Values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bucea-Manea-Tonis, Radu</creatorcontrib><creatorcontrib>Kuleto, Valentin</creatorcontrib><creatorcontrib>Plojović, Šemsudin A</creatorcontrib><creatorcontrib>Beteringhe, Adrian</creatorcontrib><creatorcontrib>Ilić, Milena P</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bucea-Manea-Tonis, Radu</au><au>Kuleto, Valentin</au><au>Plojović, Šemsudin A</au><au>Beteringhe, Adrian</au><au>Ilić, Milena P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Securing Big Data for Knowledge Management into a Circular Economy</atitle><jtitle>Sustainability</jtitle><date>2022-11-01</date><risdate>2022</risdate><volume>14</volume><issue>22</issue><spage>14851</spage><pages>14851-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information about actions to be taken by the system may expose the values of the system’s parameters. Securing the data will stop any third party from interfering with the communication and sending its commands to the remote system. Thus, the article presents a case study that proves how to secure BD read/write operations using the Gauss function and how to use Secure Shell (SSH), a cryptographic network protocol, to generate key-value pairs for safely operating services over an unsecured network.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su142214851</doi><orcidid>https://orcid.org/0000-0002-7811-5436</orcidid><orcidid>https://orcid.org/0000-0001-8472-0993</orcidid><orcidid>https://orcid.org/0000-0001-6417-5115</orcidid><orcidid>https://orcid.org/0000-0002-9719-175X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2071-1050 |
| ispartof | Sustainability, 2022-11, Vol.14 (22), p.14851 |
| issn | 2071-1050 2071-1050 |
| language | eng |
| recordid | cdi_proquest_journals_2739479954 |
| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
| subjects | Access control Big Data Blockchain Circular economy Cloud computing Consumption Data base management systems Data compression Data management Data security Data transfer (computers) Data warehouses Economic growth Efficient markets Engineering research GDP Government aid Gross Domestic Product Innovations Knowledge management Methods Relational data bases Risk management Servers Sustainability Values |
| title | Securing Big Data for Knowledge Management into a Circular Economy |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T02%3A25%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Securing%20Big%20Data%20for%20Knowledge%20Management%20into%20a%20Circular%20Economy&rft.jtitle=Sustainability&rft.au=Bucea-Manea-Tonis,%20Radu&rft.date=2022-11-01&rft.volume=14&rft.issue=22&rft.spage=14851&rft.pages=14851-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su142214851&rft_dat=%3Cgale_proqu%3EA747189448%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2739479954&rft_id=info:pmid/&rft_galeid=A747189448&rfr_iscdi=true |