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- Publisher Website: 10.1007/s11704-018-8067-z
- Scopus: eid_2-s2.0-85060615606
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Article: Privacy-preserving edge-assisted image retrieval and classification in IoT
Title | Privacy-preserving edge-assisted image retrieval and classification in IoT |
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Authors | |
Keywords | Internet of Things outsourced computation privacy protection cryptographic primitive image processing |
Issue Date | 2019 |
Publisher | Springer Verlag. The Journal's web site is located at http://journal.hep.com.cn/fcs/EN/2095-2228/current.shtml |
Citation | Frontiers of Computer Science, 2019, v. 13, p. 1136-1147 How to Cite? |
Abstract | Internet of Things (IoT) has drawn much attention in recent years. However, the image data captured by IoT terminal devices are closely related to users’ personal information, which are sensitive and should be protected. Though traditional privacy-preserving outsourced computing solutions such as homomorphic cryptographic primitives can support privacy-preserving computing, they consume a significant amount of computation and storage resources. Thus, it becomes a heavy burden on IoT terminal devices with limited resources. In order to reduce the resource consumption of terminal device, we propose an edge-assisted privacy-preserving outsourced computing framework for image processing, including image retrieval and classification. The edge nodes cooperate with the terminal device to protect data and support privacy-preserving computing on the semi-trusted cloud server. Under this framework, edge-assisted privacy-preserving image retrieval and classification schemes are proposed in this paper. The security analysis and performance evaluation show that the proposed schemes greatly reduce the computational, communication and storage burden of IoT terminal device while ensuring image data security. |
Persistent Identifier | http://hdl.handle.net/10722/277567 |
ISSN | 2023 Impact Factor: 3.4 2023 SCImago Journal Rankings: 1.105 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, X | - |
dc.contributor.author | Li, J | - |
dc.contributor.author | Yiu, S | - |
dc.contributor.author | Gao, C | - |
dc.contributor.author | Xiong, J | - |
dc.date.accessioned | 2019-09-20T08:53:31Z | - |
dc.date.available | 2019-09-20T08:53:31Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Frontiers of Computer Science, 2019, v. 13, p. 1136-1147 | - |
dc.identifier.issn | 2095-2228 | - |
dc.identifier.uri | http://hdl.handle.net/10722/277567 | - |
dc.description.abstract | Internet of Things (IoT) has drawn much attention in recent years. However, the image data captured by IoT terminal devices are closely related to users’ personal information, which are sensitive and should be protected. Though traditional privacy-preserving outsourced computing solutions such as homomorphic cryptographic primitives can support privacy-preserving computing, they consume a significant amount of computation and storage resources. Thus, it becomes a heavy burden on IoT terminal devices with limited resources. In order to reduce the resource consumption of terminal device, we propose an edge-assisted privacy-preserving outsourced computing framework for image processing, including image retrieval and classification. The edge nodes cooperate with the terminal device to protect data and support privacy-preserving computing on the semi-trusted cloud server. Under this framework, edge-assisted privacy-preserving image retrieval and classification schemes are proposed in this paper. The security analysis and performance evaluation show that the proposed schemes greatly reduce the computational, communication and storage burden of IoT terminal device while ensuring image data security. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag. The Journal's web site is located at http://journal.hep.com.cn/fcs/EN/2095-2228/current.shtml | - |
dc.relation.ispartof | Frontiers of Computer Science | - |
dc.rights | This is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: http://dx.doi.org/[insert DOI] | - |
dc.subject | Internet of Things | - |
dc.subject | outsourced computation | - |
dc.subject | privacy protection | - |
dc.subject | cryptographic primitive | - |
dc.subject | image processing | - |
dc.title | Privacy-preserving edge-assisted image retrieval and classification in IoT | - |
dc.type | Article | - |
dc.identifier.email | Yiu, S: smyiu@cs.hku.hk | - |
dc.identifier.authority | Yiu, S=rp00207 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11704-018-8067-z | - |
dc.identifier.scopus | eid_2-s2.0-85060615606 | - |
dc.identifier.hkuros | 305928 | - |
dc.identifier.volume | 13 | - |
dc.identifier.spage | 1136 | - |
dc.identifier.epage | 1147 | - |
dc.identifier.isi | WOS:000471933400016 | - |
dc.publisher.place | Germany | - |
dc.identifier.issnl | 2095-2228 | - |