Chaotic and Paillier secure image data sharing based on blockchain and cloud security.

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Title: Chaotic and Paillier secure image data sharing based on blockchain and cloud security.
Authors: Singh, C. Edward Jaya1 (AUTHOR) cedwardsingh@gmail.com, Sunitha, C. Adline2 (AUTHOR) adlinsuni@gmail.com
Source: Expert Systems with Applications. Jul2022, Vol. 198, pN.PAG-N.PAG. 1p.
Subjects: Data integrity, Smart cities, Blockchains, Information sharing, Databases, Cloud computing security measures, Internet of things, Smart homes
Abstract: • A Cat Map Registration process help land use users improve their data sharing and optimize functionalities. • New Paillier Map-based Authentication model which generates minimum block generation time and size. • Blockchain-based cloud environment prevents malicious model to falsely provide the class image data to malicious users. Internet of Things (IoT) is a materializing technology that has considerable technical, social, and economic importance. The present day predictions for the influence of IoT are highly monumental. This is because data of any form is found to be predominant to the IoT paradigm, therefore serving different applications like smart home, smart city, healthcare, smart grid, smart farms, manufacturing, and so on. Hence, several heterogeneous sensors are said in existence to estimate different types of parameters and found to be useful for different users. In this paper, a secured image sharing method called a Blockchain Chaotic and Paillier Map-based Authentication (BC-PMA) to provide image data integrity and security by deploying a cloud computing environment is proposed. The BC-PMA method is split into three sections. First, registration of corresponding classes of images in the cloud server via blockchain is presented by employing the Cat Map Registration model. The second step involves the authentication process carried out by employing Paillier Map-based Authentication where validation is ensured via smart contracts. Finally, upon successful authentication, unique and separate classes of images are provided with the respective, therefore ensuring secured classes of image sharing between users in the cloud environment. The results have been analyzed against traditional blockchain-based methods and validated with enhanced simulated results, that good authentication accuracy, minimizing the false positive rate, block generation time, and size considerably. Experimental Result shows that the Authentication Accuracy of the proposed BC-PMA method is improved by 23%, and minimizes the False Positive Rate and Computational Cost by 32% and 22% when compared to the Existing Method. [ABSTRACT FROM AUTHOR]
Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science 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.)
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  Data: Chaotic and Paillier secure image data sharing based on blockchain and cloud security.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+C%2E+Edward+Jaya%22">Singh, C. Edward Jaya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cedwardsingh@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sunitha%2C+C%2E+Adline%22">Sunitha, C. Adline</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> adlinsuni@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>. Jul2022, Vol. 198, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Data+integrity%22">Data integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Smart+cities%22">Smart cities</searchLink><br /><searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing+security+measures%22">Cloud computing security measures</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Smart+homes%22">Smart homes</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • A Cat Map Registration process help land use users improve their data sharing and optimize functionalities. • New Paillier Map-based Authentication model which generates minimum block generation time and size. • Blockchain-based cloud environment prevents malicious model to falsely provide the class image data to malicious users. Internet of Things (IoT) is a materializing technology that has considerable technical, social, and economic importance. The present day predictions for the influence of IoT are highly monumental. This is because data of any form is found to be predominant to the IoT paradigm, therefore serving different applications like smart home, smart city, healthcare, smart grid, smart farms, manufacturing, and so on. Hence, several heterogeneous sensors are said in existence to estimate different types of parameters and found to be useful for different users. In this paper, a secured image sharing method called a Blockchain Chaotic and Paillier Map-based Authentication (BC-PMA) to provide image data integrity and security by deploying a cloud computing environment is proposed. The BC-PMA method is split into three sections. First, registration of corresponding classes of images in the cloud server via blockchain is presented by employing the Cat Map Registration model. The second step involves the authentication process carried out by employing Paillier Map-based Authentication where validation is ensured via smart contracts. Finally, upon successful authentication, unique and separate classes of images are provided with the respective, therefore ensuring secured classes of image sharing between users in the cloud environment. The results have been analyzed against traditional blockchain-based methods and validated with enhanced simulated results, that good authentication accuracy, minimizing the false positive rate, block generation time, and size considerably. Experimental Result shows that the Authentication Accuracy of the proposed BC-PMA method is improved by 23%, and minimizes the False Positive Rate and Computational Cost by 32% and 22% when compared to the Existing Method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science 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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    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2022.116874
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Data integrity
        Type: general
      – SubjectFull: Smart cities
        Type: general
      – SubjectFull: Blockchains
        Type: general
      – SubjectFull: Information sharing
        Type: general
      – SubjectFull: Databases
        Type: general
      – SubjectFull: Cloud computing security measures
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Smart homes
        Type: general
    Titles:
      – TitleFull: Chaotic and Paillier secure image data sharing based on blockchain and cloud security.
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          Name:
            NameFull: Singh, C. Edward Jaya
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            NameFull: Sunitha, C. Adline
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            – D: 15
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 198
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            – TitleFull: Expert Systems with Applications
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