SEA: Secure and Efficient Public Auditing for Edge-Assisted IoT Aggregated Data Sharing.
Saved in:
| Title: | SEA: Secure and Efficient Public Auditing for Edge-Assisted IoT Aggregated Data Sharing. |
|---|---|
| Authors: | Liu, Mingxi1 (AUTHOR), Lu, Ning1,2 (AUTHOR) luning@neuq.edu.cn, Wen, Yihong3 (AUTHOR), Cheng, Qingfeng4,5 (AUTHOR), Shi, Wenbo1 (AUTHOR) shiwb@neuq.edu.cn |
| Source: | Mobile Networks & Applications. Oct2024, Vol. 29 Issue 5, p1477-1488. 12p. |
| Subjects: | System administrators, Mobile computing, Sensor placement, Information sharing, Data integrity |
| Abstract: | With the increasing deployment of sensors and the consequent rise in IoT data, it is prudent for system administrators to adopt data aggregation strategies in edge-assisted IoT scenarios. This approach enables the collection and sharing of data, while mitigating the strain on bandwidth resources caused by traditional direct-communication methods. Sharing these data can create extra value, where the precondition is to ensure data integrity. However, due to the different signature keys, the aggregated data cannot directly verify the aggregated signatures from different devices in batches. This paper proposes a blockchain-based efficient and secure public auditing scheme for aggregated data sharing in the edge-assisted IoT paradigm. For security, we propose a proxy re-signature based data auditing protocol to transfer aggregated data signatures to auditing metadata. Considering the possible error data injection attack, we attach an authentication protocol to the auditing scheme. For efficiency, we propose a hash index balanced tree (HIBT) to reduce the computational expense of signature retrieval. And we design an authentication proof transfer mechanism to realize efficient re-authentication. Finally, we propose a secure and efficient auditing framework (SEA) by connecting all processes and combining the mobile edge computing (MEC) paradigm and blockchain. Also, security and performance analyses prove the proposal has advantages compared with existing schemes. [ABSTRACT FROM AUTHOR] |
| Copyright of Mobile Networks & Applications is the property of Springer Nature 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.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 184388145 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: SEA: Secure and Efficient Public Auditing for Edge-Assisted IoT Aggregated Data Sharing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Mingxi%22">Liu, Mingxi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Ning%22">Lu, Ning</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> luning@neuq.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wen%2C+Yihong%22">Wen, Yihong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheng%2C+Qingfeng%22">Cheng, Qingfeng</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Wenbo%22">Shi, Wenbo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shiwb@neuq.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mobile+Networks+%26+Applications%22">Mobile Networks & Applications</searchLink>. Oct2024, Vol. 29 Issue 5, p1477-1488. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22System+administrators%22">System administrators</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+computing%22">Mobile computing</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+placement%22">Sensor placement</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+integrity%22">Data integrity</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the increasing deployment of sensors and the consequent rise in IoT data, it is prudent for system administrators to adopt data aggregation strategies in edge-assisted IoT scenarios. This approach enables the collection and sharing of data, while mitigating the strain on bandwidth resources caused by traditional direct-communication methods. Sharing these data can create extra value, where the precondition is to ensure data integrity. However, due to the different signature keys, the aggregated data cannot directly verify the aggregated signatures from different devices in batches. This paper proposes a blockchain-based efficient and secure public auditing scheme for aggregated data sharing in the edge-assisted IoT paradigm. For security, we propose a proxy re-signature based data auditing protocol to transfer aggregated data signatures to auditing metadata. Considering the possible error data injection attack, we attach an authentication protocol to the auditing scheme. For efficiency, we propose a hash index balanced tree (HIBT) to reduce the computational expense of signature retrieval. And we design an authentication proof transfer mechanism to realize efficient re-authentication. Finally, we propose a secure and efficient auditing framework (SEA) by connecting all processes and combining the mobile edge computing (MEC) paradigm and blockchain. Also, security and performance analyses prove the proposal has advantages compared with existing schemes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Mobile Networks & Applications is the property of Springer Nature 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=184388145 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11036-023-02146-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1477 Subjects: – SubjectFull: System administrators Type: general – SubjectFull: Mobile computing Type: general – SubjectFull: Sensor placement Type: general – SubjectFull: Information sharing Type: general – SubjectFull: Data integrity Type: general Titles: – TitleFull: SEA: Secure and Efficient Public Auditing for Edge-Assisted IoT Aggregated Data Sharing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Mingxi – PersonEntity: Name: NameFull: Lu, Ning – PersonEntity: Name: NameFull: Wen, Yihong – PersonEntity: Name: NameFull: Cheng, Qingfeng – PersonEntity: Name: NameFull: Shi, Wenbo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1383469X Numbering: – Type: volume Value: 29 – Type: issue Value: 5 Titles: – TitleFull: Mobile Networks & Applications Type: main |
| ResultId | 1 |
