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AILocker: Authenticated Image Locker for Video

Title
AILocker: Authenticated Image Locker for Video
Author
오현옥
Keywords
Privacy; Authentication; Object detection; Digital signature; Forward-secure signature; Surveillance
Issue Date
2019-04
Publisher
ACM
Citation
Proceedings of the ACM Symposium on Applied Computing, Page. 1508-1511
Abstract
This paper proposes a new object-based authenticated encryption scheme with a constant sized signature. We combine the deep learn- ing algorithm and some cryptographic techniques, such as symmetric key encryption and digital signatures, to satisfy the requirements mentioned above. Based on the deep learning algorithm, the objects are detected and each object unit is encrypted with a different key, thereby enabling access per object unit. The applied forward secure digital signature scheme guarantees not to forge a signature on the already captured image frames even if the device is hijacked. Experimental results show that the proposed scheme is practical in a real-time system due to the high performance of signature gen- eration (10.5ms per frame) and a constant signature size overhead.
URI
https://dl.acm.org/citation.cfm?doid=3297280.3297594https://repository.hanyang.ac.kr/handle/20.500.11754/110841
ISBN
978-145035933-7
DOI
10.1145/3297280.3297594
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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