Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 서승현 | - |
dc.date.accessioned | 2018-12-18T05:56:54Z | - |
dc.date.available | 2018-12-18T05:56:54Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.citation | IEEE ACCESS, v. 6, Page. 18074-18087 | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8329515 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/80917 | - |
dc.description.abstract | Privacy protection of surveillance videos is an important issue because of the pervasiveness of surveillance cameras. Region of interest (RoI) privacy protection prefers encrypting limited privacy-sensitive areas to encrypting the entire video because of the resource-tightened Internet of Things devices. However, many cryptographic technologies now applied in privacy protection, e.g., AES and RSA, are not efficient to meet the real-time requirement for surveillance videos. A lightweight encryption approach is then devised based on layered cellular automata (LCA). Using our approach, the extracted RoIs are fed into the initial state of an 8-layer cellular automata, which is driven by the randomly selected rules for the LCA's state transitions. As a result, all RoIs are encrypted independently and synchronously. The encrypted RoIs are stored at the camera side and can be used by authenticated users through an on-demand manner. The surveillance video without RoIs can be watched in real-time by any user online. Theoretical analyses and experimental results show that our approach is both efficient and effective. | en_US |
dc.description.sponsorship | This work was supported in part by the National Science Foundation of China under Grant 61172269 and in part by the Jiangsu Provincial Science and Technology Project under Grant BA2015161. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Surveillance video | en_US |
dc.subject | Rol encryption | en_US |
dc.subject | layered cellular automata | en_US |
dc.subject | reversible rule | en_US |
dc.subject | shift transformation | en_US |
dc.title | A Lightweight Encryption Method for Privacy Protection in Surveillance Videos | en_US |
dc.type | Article | en_US |
dc.relation.volume | 6 | - |
dc.identifier.doi | 10.1109/ACCESS.2018.2820724 | - |
dc.relation.page | 18074-18087 | - |
dc.relation.journal | IEEE ACCESS | - |
dc.contributor.googleauthor | Zhang, Xing | - |
dc.contributor.googleauthor | Seo, Seung-Hyun | - |
dc.contributor.googleauthor | Wang, Changda | - |
dc.relation.code | 2018011916 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | seosh77 | - |
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