Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT
In recent years, the Internet of Things (IoT) has found wide application and attracted much attention. Since most of the end-terminals in IoT have limited capabilities for storage and computing, it has become a trend to outsource the data from local to cloud computing. To further reduce the communic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/6/1814 |
| _version_ | 1798035142301712384 |
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| author | Hongyang Yan Xuan Li Yu Wang Chunfu Jia |
| author_facet | Hongyang Yan Xuan Li Yu Wang Chunfu Jia |
| author_sort | Hongyang Yan |
| collection | DOAJ |
| description | In recent years, the Internet of Things (IoT) has found wide application and attracted much attention. Since most of the end-terminals in IoT have limited capabilities for storage and computing, it has become a trend to outsource the data from local to cloud computing. To further reduce the communication bandwidth and storage space, data deduplication has been widely adopted to eliminate the redundant data. However, since data collected in IoT are sensitive and closely related to users’ personal information, the privacy protection of users’ information becomes a challenge. As the channels, like the wireless channels between the terminals and the cloud servers in IoT, are public and the cloud servers are not fully trusted, data have to be encrypted before being uploaded to the cloud. However, encryption makes the performance of deduplication by the cloud server difficult because the ciphertext will be different even if the underlying plaintext is identical. In this paper, we build a centralized privacy-preserving duplicate removal storage system, which supports both file-level and block-level deduplication. In order to avoid the leakage of statistical information of data, Intel Software Guard Extensions (SGX) technology is utilized to protect the deduplication process on the cloud server. The results of the experimental analysis demonstrate that the new scheme can significantly improve the deduplication efficiency and enhance the security. It is envisioned that the duplicated removal system with privacy preservation will be of great use in the centralized storage environment of IoT. |
| first_indexed | 2024-04-11T20:54:08Z |
| format | Article |
| id | doaj.art-d0e78f1b271f4b01a3276de30f3feaaf |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:54:08Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d0e78f1b271f4b01a3276de30f3feaaf2022-12-22T04:03:46ZengMDPI AGSensors1424-82202018-06-01186181410.3390/s18061814s18061814Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoTHongyang Yan0Xuan Li1Yu Wang2Chunfu Jia3College of Computer and Control Engineering, Nankai University, Tianjin 300071, ChinaCollege of Mathematics and Informatics, Fujian Normal University, Fuzhou 350117, ChinaSchool of Computer Science, Guangzhou University, Guangzhou 510006, ChinaCollege of Computer and Control Engineering, Nankai University, Tianjin 300071, ChinaIn recent years, the Internet of Things (IoT) has found wide application and attracted much attention. Since most of the end-terminals in IoT have limited capabilities for storage and computing, it has become a trend to outsource the data from local to cloud computing. To further reduce the communication bandwidth and storage space, data deduplication has been widely adopted to eliminate the redundant data. However, since data collected in IoT are sensitive and closely related to users’ personal information, the privacy protection of users’ information becomes a challenge. As the channels, like the wireless channels between the terminals and the cloud servers in IoT, are public and the cloud servers are not fully trusted, data have to be encrypted before being uploaded to the cloud. However, encryption makes the performance of deduplication by the cloud server difficult because the ciphertext will be different even if the underlying plaintext is identical. In this paper, we build a centralized privacy-preserving duplicate removal storage system, which supports both file-level and block-level deduplication. In order to avoid the leakage of statistical information of data, Intel Software Guard Extensions (SGX) technology is utilized to protect the deduplication process on the cloud server. The results of the experimental analysis demonstrate that the new scheme can significantly improve the deduplication efficiency and enhance the security. It is envisioned that the duplicated removal system with privacy preservation will be of great use in the centralized storage environment of IoT.http://www.mdpi.com/1424-8220/18/6/1814Internet of Thingscloud storage environmentdata deduplicationprivacy preservationcryptosystem |
| spellingShingle | Hongyang Yan Xuan Li Yu Wang Chunfu Jia Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT Sensors Internet of Things cloud storage environment data deduplication privacy preservation cryptosystem |
| title | Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT |
| title_full | Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT |
| title_fullStr | Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT |
| title_full_unstemmed | Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT |
| title_short | Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT |
| title_sort | centralized duplicate removal video storage system with privacy preservation in iot |
| topic | Internet of Things cloud storage environment data deduplication privacy preservation cryptosystem |
| url | http://www.mdpi.com/1424-8220/18/6/1814 |
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