Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things
With the support of cloud computing, the scalability of the information-centric Internet of Things (IC-IoT) can be increased greatly. In the cloud-supported IC-IoT, how to make search more secure and efficient is a key issue to deal with. Searchable encryption is a potential technique to solve the a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8588328/ |
| _version_ | 1818854651840167936 |
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| author | Zhitao Guan Xueyan Liu Hongyin Diao Xiaojiang Du Zijian Zhang Linping Su |
| author_facet | Zhitao Guan Xueyan Liu Hongyin Diao Xiaojiang Du Zijian Zhang Linping Su |
| author_sort | Zhitao Guan |
| collection | DOAJ |
| description | With the support of cloud computing, the scalability of the information-centric Internet of Things (IC-IoT) can be increased greatly. In the cloud-supported IC-IoT, how to make search more secure and efficient is a key issue to deal with. Searchable encryption is a potential technique to solve the above problem. In the cloud-supported IC-IoT, sensitive data are provided by multiple data users and can be accessed by specific data users. Then, the expression ability, search authorization, dynamic updates, and search efficiency become major concerns of search in the cloud-supported IC-IoT. In this paper, SASDQ, a semantic and authorized search scheme with dynamic updates and quick response, is proposed. In SASDQ, by constructing users’ personal dictionaries, dynamic updates and efficient index generation are achieved, and by leveraging ciphertext policy attribute-based encryption and conceptual graphs, semantic search with file-level fine-grained access authorization can be realized. In addition, quick search response is implemented by the preprocessing of time-consuming authorization tasks. The analysis shows that the proposed scheme can meet the data security requirement of the cloud-supported IC-IoT, and it also has less cost compared with other popular models. |
| first_indexed | 2024-12-19T07:56:06Z |
| format | Article |
| id | doaj.art-5b534e62dedb4946a26eade9ccebfb3b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:56:06Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5b534e62dedb4946a26eade9ccebfb3b2022-12-21T20:30:00ZengIEEEIEEE Access2169-35362019-01-0175784579410.1109/ACCESS.2018.28896428588328Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of ThingsZhitao Guan0https://orcid.org/0000-0003-0901-8621Xueyan Liu1Hongyin Diao2Xiaojiang Du3Zijian Zhang4https://orcid.org/0000-0002-6313-4407Linping Su5School of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaDepartment of Computer and Information Sciences, Temple University, Philadelphia, PA, USASchool of Computer, Beijing Institute of Technology, Beijing, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaWith the support of cloud computing, the scalability of the information-centric Internet of Things (IC-IoT) can be increased greatly. In the cloud-supported IC-IoT, how to make search more secure and efficient is a key issue to deal with. Searchable encryption is a potential technique to solve the above problem. In the cloud-supported IC-IoT, sensitive data are provided by multiple data users and can be accessed by specific data users. Then, the expression ability, search authorization, dynamic updates, and search efficiency become major concerns of search in the cloud-supported IC-IoT. In this paper, SASDQ, a semantic and authorized search scheme with dynamic updates and quick response, is proposed. In SASDQ, by constructing users’ personal dictionaries, dynamic updates and efficient index generation are achieved, and by leveraging ciphertext policy attribute-based encryption and conceptual graphs, semantic search with file-level fine-grained access authorization can be realized. In addition, quick search response is implemented by the preprocessing of time-consuming authorization tasks. The analysis shows that the proposed scheme can meet the data security requirement of the cloud-supported IC-IoT, and it also has less cost compared with other popular models.https://ieeexplore.ieee.org/document/8588328/Cloud computingIC-IoTconceptual graphssearchable encryptionsemantic search |
| spellingShingle | Zhitao Guan Xueyan Liu Hongyin Diao Xiaojiang Du Zijian Zhang Linping Su Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things IEEE Access Cloud computing IC-IoT conceptual graphs searchable encryption semantic search |
| title | Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things |
| title_full | Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things |
| title_fullStr | Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things |
| title_full_unstemmed | Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things |
| title_short | Achieving Semantic Secure Search in Cloud Supported Information-Centric Internet of Things |
| title_sort | achieving semantic secure search in cloud supported information centric internet of things |
| topic | Cloud computing IC-IoT conceptual graphs searchable encryption semantic search |
| url | https://ieeexplore.ieee.org/document/8588328/ |
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