Cloud Information Retrieval: Model Description and Scheme Design
The fast development of cloud technology has brought about a new trend in the field of information service: more and more information is being transferred to the cloud as requested. However, the data, such as texts, images, sounds, and videos, before being moved to the cloud, in most cases, has to b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8272322/ |
| _version_ | 1819163098540408832 |
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| author | Zhen Yang Jiliang Tang Huan Liu |
| author_facet | Zhen Yang Jiliang Tang Huan Liu |
| author_sort | Zhen Yang |
| collection | DOAJ |
| description | The fast development of cloud technology has brought about a new trend in the field of information service: more and more information is being transferred to the cloud as requested. However, the data, such as texts, images, sounds, and videos, before being moved to the cloud, in most cases, has to be encrypted so that intelligible information will not be obtained from unauthorized accesses. While having done a nice work in protecting the data privacy of its owners, this encrypting process, has produced a great challenge for retrieval of the document stored via traditional IR model based on document, query and relevance. In order to retrieve encrypted information from cloud, an alternative retrieval system is needed. To satisfy such a need, we have: 1) build a cloud information retrieval framework characterized by its retrieval risk formula, which, enables, for the very first time to the best of our knowledge, an effective retrieval of keywords from encrypted cloud data without undermining key word privacy and retrieval performance; and 2) upgraded the existing searchable encryption scheme that can only support simple equality queries on encrypted data and has been proved to perform slightly better than random selection, so that it can now support the state-of-art information retrieval methods, such as vector space, probabilistic, and language model. To evaluate the effect of the system proposed above, we've conducted a wide range of experiments on benchmark data sets, of which the results shows that solution can fulfill its purposes quite well in various settings. |
| first_indexed | 2024-12-22T17:38:44Z |
| format | Article |
| id | doaj.art-50aac4748c3a41e8a5a0216e495010a8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T17:38:44Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-50aac4748c3a41e8a5a0216e495010a82022-12-21T18:18:28ZengIEEEIEEE Access2169-35362018-01-016154201543010.1109/ACCESS.2018.27971318272322Cloud Information Retrieval: Model Description and Scheme DesignZhen Yang0https://orcid.org/0000-0002-6058-0217Jiliang Tang1Huan Liu2College of Computer Science, Beijing University of Technology, Beijing, ChinaDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI, USASchool of Computing, Informatics, and Decision Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USAThe fast development of cloud technology has brought about a new trend in the field of information service: more and more information is being transferred to the cloud as requested. However, the data, such as texts, images, sounds, and videos, before being moved to the cloud, in most cases, has to be encrypted so that intelligible information will not be obtained from unauthorized accesses. While having done a nice work in protecting the data privacy of its owners, this encrypting process, has produced a great challenge for retrieval of the document stored via traditional IR model based on document, query and relevance. In order to retrieve encrypted information from cloud, an alternative retrieval system is needed. To satisfy such a need, we have: 1) build a cloud information retrieval framework characterized by its retrieval risk formula, which, enables, for the very first time to the best of our knowledge, an effective retrieval of keywords from encrypted cloud data without undermining key word privacy and retrieval performance; and 2) upgraded the existing searchable encryption scheme that can only support simple equality queries on encrypted data and has been proved to perform slightly better than random selection, so that it can now support the state-of-art information retrieval methods, such as vector space, probabilistic, and language model. To evaluate the effect of the system proposed above, we've conducted a wide range of experiments on benchmark data sets, of which the results shows that solution can fulfill its purposes quite well in various settings.https://ieeexplore.ieee.org/document/8272322/Information retrievalcloud computingsearchable encryptionkeyword extractionquery expansion |
| spellingShingle | Zhen Yang Jiliang Tang Huan Liu Cloud Information Retrieval: Model Description and Scheme Design IEEE Access Information retrieval cloud computing searchable encryption keyword extraction query expansion |
| title | Cloud Information Retrieval: Model Description and Scheme Design |
| title_full | Cloud Information Retrieval: Model Description and Scheme Design |
| title_fullStr | Cloud Information Retrieval: Model Description and Scheme Design |
| title_full_unstemmed | Cloud Information Retrieval: Model Description and Scheme Design |
| title_short | Cloud Information Retrieval: Model Description and Scheme Design |
| title_sort | cloud information retrieval model description and scheme design |
| topic | Information retrieval cloud computing searchable encryption keyword extraction query expansion |
| url | https://ieeexplore.ieee.org/document/8272322/ |
| work_keys_str_mv | AT zhenyang cloudinformationretrievalmodeldescriptionandschemedesign AT jiliangtang cloudinformationretrievalmodeldescriptionandschemedesign AT huanliu cloudinformationretrievalmodeldescriptionandschemedesign |