Efficient encrypted image retrieval in IoT-cloud with multi-user authentication
Encryption is one of the best methods to safeguard the security and privacy of an image. However, looking through encrypted data is difficult. A number of techniques for searching encrypted data have been devised. However, certain security solutions may not be used in smart devices in IoT-cloud beca...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-02-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718761814 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850181965671563264 |
|---|---|
| author | Mustafa A Al Sibahee Songfeng Lu Zaid Ameen Abduljabbar Ayad Ibrahim Zaid Alaa Hussien Keyan Abdul-Aziz Mutlaq Mohammed Abdulridha Hussain |
| author_facet | Mustafa A Al Sibahee Songfeng Lu Zaid Ameen Abduljabbar Ayad Ibrahim Zaid Alaa Hussien Keyan Abdul-Aziz Mutlaq Mohammed Abdulridha Hussain |
| author_sort | Mustafa A Al Sibahee |
| collection | DOAJ |
| description | Encryption is one of the best methods to safeguard the security and privacy of an image. However, looking through encrypted data is difficult. A number of techniques for searching encrypted data have been devised. However, certain security solutions may not be used in smart devices in IoT-cloud because such solutions are not lightweight. In this article, we present a lightweight scheme that can enable a content-based search through encrypted images. In particular, images are represented using local features. We develop and validate a secure scheme for measuring the Euclidean distance between two feature vectors. In addition, we use a hashing method, namely, locality-sensitive hashing, to devise the searchable index. The use of an locality-sensitive hashing index increases the proficiency and effectiveness of a system, thereby allowing the retrieval of only relevant images with a minimum number of distance evaluations. Refining vector techniques are used to refine relevant results efficiently and securely. Our index construction process ensures that stored data and trapdoors are kept private. Our system also efficiently supports multi-user authentication by avoiding the expensive traditional method, which enables data owners to define who can search for a specific image. Compared with other similarity-based encryption methods predicated upon searchability, the option presented in this study offers superior search speed and storage efficiency. |
| format | Article |
| id | doaj-art-49294bcb46314cdc8b5fb7d4e6739d7a |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-49294bcb46314cdc8b5fb7d4e6739d7a2025-08-20T02:17:47ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-02-011410.1177/1550147718761814Efficient encrypted image retrieval in IoT-cloud with multi-user authenticationMustafa A Al Sibahee0Songfeng Lu1Zaid Ameen Abduljabbar2Ayad Ibrahim3Zaid Alaa Hussien4Keyan Abdul-Aziz Mutlaq5Mohammed Abdulridha Hussain6School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaUniversity of Basrah, Basra, IraqUniversity of Basrah, Basra, IraqSouthern Technical University, Basra, IraqUniversity of Basrah, Basra, IraqUniversity of Basrah, Basra, IraqEncryption is one of the best methods to safeguard the security and privacy of an image. However, looking through encrypted data is difficult. A number of techniques for searching encrypted data have been devised. However, certain security solutions may not be used in smart devices in IoT-cloud because such solutions are not lightweight. In this article, we present a lightweight scheme that can enable a content-based search through encrypted images. In particular, images are represented using local features. We develop and validate a secure scheme for measuring the Euclidean distance between two feature vectors. In addition, we use a hashing method, namely, locality-sensitive hashing, to devise the searchable index. The use of an locality-sensitive hashing index increases the proficiency and effectiveness of a system, thereby allowing the retrieval of only relevant images with a minimum number of distance evaluations. Refining vector techniques are used to refine relevant results efficiently and securely. Our index construction process ensures that stored data and trapdoors are kept private. Our system also efficiently supports multi-user authentication by avoiding the expensive traditional method, which enables data owners to define who can search for a specific image. Compared with other similarity-based encryption methods predicated upon searchability, the option presented in this study offers superior search speed and storage efficiency.https://doi.org/10.1177/1550147718761814 |
| spellingShingle | Mustafa A Al Sibahee Songfeng Lu Zaid Ameen Abduljabbar Ayad Ibrahim Zaid Alaa Hussien Keyan Abdul-Aziz Mutlaq Mohammed Abdulridha Hussain Efficient encrypted image retrieval in IoT-cloud with multi-user authentication International Journal of Distributed Sensor Networks |
| title | Efficient encrypted image retrieval in IoT-cloud with multi-user authentication |
| title_full | Efficient encrypted image retrieval in IoT-cloud with multi-user authentication |
| title_fullStr | Efficient encrypted image retrieval in IoT-cloud with multi-user authentication |
| title_full_unstemmed | Efficient encrypted image retrieval in IoT-cloud with multi-user authentication |
| title_short | Efficient encrypted image retrieval in IoT-cloud with multi-user authentication |
| title_sort | efficient encrypted image retrieval in iot cloud with multi user authentication |
| url | https://doi.org/10.1177/1550147718761814 |
| work_keys_str_mv | AT mustafaaalsibahee efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication AT songfenglu efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication AT zaidameenabduljabbar efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication AT ayadibrahim efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication AT zaidalaahussien efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication AT keyanabdulazizmutlaq efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication AT mohammedabdulridhahussain efficientencryptedimageretrievaliniotcloudwithmultiuserauthentication |