View in EDS HTML Full Text PDF Full Text

Digital forensic in IoT paradigm: Blockchain assisted digital forensic framework with improved cryptosystem.

Saved in:
Bibliographic Details
Title: Digital forensic in IoT paradigm: Blockchain assisted digital forensic framework with improved cryptosystem.
Authors: Rekha, G1 (AUTHOR) rekhacsesoet@spmvv.ac.in, Sudha, T2 (AUTHOR)
Source: Intelligent Decision Technologies. Sep2025, Vol. 19 Issue 5, p3573-3592. 20p.
Subjects: Blockchains, Cryptosystems, Digital forensics, Internet of things, Data privacy, Data security, Edge computing, Data encryption
Abstract: Recent investigative frame works, digital forensic tools, and techniques are incapable of acquiring the IoT paradigm's dispersion and heterogeneity characteristics that make law enforcement organizations and digital forensic investigators do their tasks. To address these issues, this study presents a Blockchain-assisted digital forensic system for the IoT context. The devices in the perception layer contain several forensic evidences, which are transmitted to the further layer called the Fog layer. Moreover, the secure transmission of messages from the perception layer to the fog layer is a major challenge. To address this issue, the user's identity (investigators and devices) can be mapped to a pseudo-identity and the security of signature and confidentiality mechanisms ensures both privacy and security. Subsequently, the Fog layer verifies the signature data and employs an improved Blowfish encryption algorithm to provide security to the evidence transmission. In order to encrypt the evidence, the optimal key is generated using the SSAJO algorithm. Then the encrypted message is subjected to a distributed ledger called consortium blockchain that improves the security factors with a greater level of control. Moreover, the proposed IoT framework controls the cloud locally to store, and access data, and performs occasional synchronization with a consortium blockchain. [ABSTRACT FROM AUTHOR]
Copyright of Intelligent Decision Technologies is the property of Sage Publications Inc. 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 188443883
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Digital forensic in IoT paradigm: Blockchain assisted digital forensic framework with improved cryptosystem.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rekha%2C+G%22">Rekha, G</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rekhacsesoet@spmvv.ac.in</i><br /><searchLink fieldCode="AR" term="%22Sudha%2C+T%22">Sudha, T</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Intelligent+Decision+Technologies%22">Intelligent Decision Technologies</searchLink>. Sep2025, Vol. 19 Issue 5, p3573-3592. 20p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Cryptosystems%22">Cryptosystems</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+forensics%22">Digital forensics</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><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="%22Edge+computing%22">Edge computing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Recent investigative frame works, digital forensic tools, and techniques are incapable of acquiring the IoT paradigm's dispersion and heterogeneity characteristics that make law enforcement organizations and digital forensic investigators do their tasks. To address these issues, this study presents a Blockchain-assisted digital forensic system for the IoT context. The devices in the perception layer contain several forensic evidences, which are transmitted to the further layer called the Fog layer. Moreover, the secure transmission of messages from the perception layer to the fog layer is a major challenge. To address this issue, the user's identity (investigators and devices) can be mapped to a pseudo-identity and the security of signature and confidentiality mechanisms ensures both privacy and security. Subsequently, the Fog layer verifies the signature data and employs an improved Blowfish encryption algorithm to provide security to the evidence transmission. In order to encrypt the evidence, the optimal key is generated using the SSAJO algorithm. Then the encrypted message is subjected to a distributed ledger called consortium blockchain that improves the security factors with a greater level of control. Moreover, the proposed IoT framework controls the cloud locally to store, and access data, and performs occasional synchronization with a consortium blockchain. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Intelligent Decision Technologies is the property of Sage Publications Inc. 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188443883
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/18724981241305872
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 3573
    Subjects:
      – SubjectFull: Blockchains
        Type: general
      – SubjectFull: Cryptosystems
        Type: general
      – SubjectFull: Digital forensics
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Data privacy
        Type: general
      – SubjectFull: Data security
        Type: general
      – SubjectFull: Edge computing
        Type: general
      – SubjectFull: Data encryption
        Type: general
    Titles:
      – TitleFull: Digital forensic in IoT paradigm: Blockchain assisted digital forensic framework with improved cryptosystem.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rekha, G
      – PersonEntity:
          Name:
            NameFull: Sudha, T
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 18724981
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Intelligent Decision Technologies
              Type: main
ResultId 1