Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment
Concomitant with advances in technology, the number of systems and devices that utilize image data has increased. Nowadays, image processing devices incorporated into systems, such as the Internet of things, drones, and closed-circuit television, can collect images of people and automatically share...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-03-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720914779 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849766412872056832 |
|---|---|
| author | Wonyoung Jang Sun-Young Lee |
| author_facet | Wonyoung Jang Sun-Young Lee |
| author_sort | Wonyoung Jang |
| collection | DOAJ |
| description | Concomitant with advances in technology, the number of systems and devices that utilize image data has increased. Nowadays, image processing devices incorporated into systems, such as the Internet of things, drones, and closed-circuit television, can collect images of people and automatically share them with networks. Consequently, the threat of invasion of privacy by image leakage has increased exponentially. However, traditional image-security methods, such as privacy masking and image encryption, have several disadvantages, including storage space wastage associated with data padding, inability to decode, inability to recognize images without decoding, and exposure of private information after decryption. This article proposes a method for partially encrypting private information in images using FF1 and FF3-1. The proposed method encrypts private information without increasing the data size, solving the problem of wasted storage space. Furthermore, using the proposed method, specific sections of encrypted images can be decrypted and recognized before decryption of the entire information, which addresses the problems besetting traditional privacy masking and image encryption methods. The results of histogram analysis, correlation analysis, number of pixels change rate, unified average change intensity, information entropy analysis, and NIST SP 800-22 verify the security and overall efficacy of the proposed method. |
| format | Article |
| id | doaj-art-b3b1cbd06f724c6b960fe20fe200640e |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b3b1cbd06f724c6b960fe20fe200640e2025-08-20T03:04:35ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-03-011610.1177/1550147720914779Partial image encryption using format-preserving encryption in image processing systems for Internet of things environmentWonyoung Jang0Sun-Young Lee1Department of Computer Science & Engineering, Soonchunhyang University, Asan, South KoreaDepartment of Information Security Engineering, Soonchunhyang University, Asan, South KoreaConcomitant with advances in technology, the number of systems and devices that utilize image data has increased. Nowadays, image processing devices incorporated into systems, such as the Internet of things, drones, and closed-circuit television, can collect images of people and automatically share them with networks. Consequently, the threat of invasion of privacy by image leakage has increased exponentially. However, traditional image-security methods, such as privacy masking and image encryption, have several disadvantages, including storage space wastage associated with data padding, inability to decode, inability to recognize images without decoding, and exposure of private information after decryption. This article proposes a method for partially encrypting private information in images using FF1 and FF3-1. The proposed method encrypts private information without increasing the data size, solving the problem of wasted storage space. Furthermore, using the proposed method, specific sections of encrypted images can be decrypted and recognized before decryption of the entire information, which addresses the problems besetting traditional privacy masking and image encryption methods. The results of histogram analysis, correlation analysis, number of pixels change rate, unified average change intensity, information entropy analysis, and NIST SP 800-22 verify the security and overall efficacy of the proposed method.https://doi.org/10.1177/1550147720914779 |
| spellingShingle | Wonyoung Jang Sun-Young Lee Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment International Journal of Distributed Sensor Networks |
| title | Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment |
| title_full | Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment |
| title_fullStr | Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment |
| title_full_unstemmed | Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment |
| title_short | Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment |
| title_sort | partial image encryption using format preserving encryption in image processing systems for internet of things environment |
| url | https://doi.org/10.1177/1550147720914779 |
| work_keys_str_mv | AT wonyoungjang partialimageencryptionusingformatpreservingencryptioninimageprocessingsystemsforinternetofthingsenvironment AT sunyounglee partialimageencryptionusingformatpreservingencryptioninimageprocessingsystemsforinternetofthingsenvironment |