PPDA-FAF: Maintaining Data Security and Privacy in Green IoT-Based Agriculture.

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Title: PPDA-FAF: Maintaining Data Security and Privacy in Green IoT-Based Agriculture.
Authors: Jaber, Mustafa Musa1 (AUTHOR) Mustafa.musa@duc.edu.iq, Yussof, Salman2 (AUTHOR) Salman@uniten.edu.my, Ali, Mohammed Hassan3 (AUTHOR) sura.khalil@duc.edu.iq, Abd, Sura Khalil4 (AUTHOR) sura.khalil@duc.edu.iq, Jassim, Mustafa Mohammed5 (AUTHOR) m.altaee@uoalfarahidi.edu.iq, Alkhayyat, Ahmed6 (AUTHOR) Dr.Ahmed@isu.edu.iq, Mubarak, H.7 (AUTHOR) mubarak_himmat56@aol.com
Source: International Journal of Cooperative Information Systems. Mar2024, Vol. 33 Issue 1, p1-20. 20p.
Subjects: Data privacy, Data security, Access control, Security systems, Agriculture, Biometric identification, Agricultural equipment
Abstract: Nowadays, Green IoT-Based Agriculture plays an essential role in farming to improve the yield. Here, IoT devices are embedded in the farming equipment, which helps to enhance the irrigation and yield with minimum cost-cutting. Data security and privacy are major challenges in green IoT-related agriculture. Therefore, a secured system should create to maintain data confidentiality, authentication, integrity, availability, and privacy. This system uses the privacy-preserving data aggregation (PPDA) with a Fair access framework (FAF) that manages the data security. The data aggregation concept is used to protect the green IoT data from false data injection. The FAF utilizes the blockchain technique to grant, get, revoke and delegate access to the user. The developed security system can adapt the green IoT-based agriculture and provide confidentiality, which is done with the help of an enhanced ciphertext access control mechanism. This system resolves the security and privacy issues involved in the Green IoT-based agriculture, and the effectiveness of the system is evaluated using implementation results. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Cooperative Information Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: PPDA-FAF: Maintaining Data Security and Privacy in Green IoT-Based Agriculture.
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  Data: <searchLink fieldCode="AR" term="%22Jaber%2C+Mustafa+Musa%22">Jaber, Mustafa Musa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Mustafa.musa@duc.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Yussof%2C+Salman%22">Yussof, Salman</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Salman@uniten.edu.my</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Mohammed+Hassan%22">Ali, Mohammed Hassan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> <email>sura.khalil@duc.edu.iq</email></i><br /><searchLink fieldCode="AR" term="%22Abd%2C+Sura+Khalil%22">Abd, Sura Khalil</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> sura.khalil@duc.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Jassim%2C+Mustafa+Mohammed%22">Jassim, Mustafa Mohammed</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> m.altaee@uoalfarahidi.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Alkhayyat%2C+Ahmed%22">Alkhayyat, Ahmed</searchLink><relatesTo>6</relatesTo> (AUTHOR)<i> Dr.Ahmed@isu.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Mubarak%2C+H%2E%22">Mubarak, H.</searchLink><relatesTo>7</relatesTo> (AUTHOR)<i> mubarak_himmat56@aol.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Cooperative+Information+Systems%22">International Journal of Cooperative Information Systems</searchLink>. Mar2024, Vol. 33 Issue 1, p1-20. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Access+control%22">Access control</searchLink><br /><searchLink fieldCode="DE" term="%22Security+systems%22">Security systems</searchLink><br /><searchLink fieldCode="DE" term="%22Agriculture%22">Agriculture</searchLink><br /><searchLink fieldCode="DE" term="%22Biometric+identification%22">Biometric identification</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+equipment%22">Agricultural equipment</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Nowadays, Green IoT-Based Agriculture plays an essential role in farming to improve the yield. Here, IoT devices are embedded in the farming equipment, which helps to enhance the irrigation and yield with minimum cost-cutting. Data security and privacy are major challenges in green IoT-related agriculture. Therefore, a secured system should create to maintain data confidentiality, authentication, integrity, availability, and privacy. This system uses the privacy-preserving data aggregation (PPDA) with a Fair access framework (FAF) that manages the data security. The data aggregation concept is used to protect the green IoT data from false data injection. The FAF utilizes the blockchain technique to grant, get, revoke and delegate access to the user. The developed security system can adapt the green IoT-based agriculture and provide confidentiality, which is done with the help of an enhanced ciphertext access control mechanism. This system resolves the security and privacy issues involved in the Green IoT-based agriculture, and the effectiveness of the system is evaluated using implementation results. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Cooperative Information Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1142/S0218843022500071
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      – Code: eng
        Text: English
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      – SubjectFull: Data privacy
        Type: general
      – SubjectFull: Data security
        Type: general
      – SubjectFull: Access control
        Type: general
      – SubjectFull: Security systems
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      – SubjectFull: Agriculture
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      – SubjectFull: Biometric identification
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      – SubjectFull: Agricultural equipment
        Type: general
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      – TitleFull: PPDA-FAF: Maintaining Data Security and Privacy in Green IoT-Based Agriculture.
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            NameFull: Jaber, Mustafa Musa
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            NameFull: Ali, Mohammed Hassan
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              Text: Mar2024
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              Y: 2024
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