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dc.contributor.author오현옥-
dc.date.accessioned2019-10-04T02:18:20Z-
dc.date.available2019-10-04T02:18:20Z-
dc.date.issued2019-04-
dc.identifier.citationProceedings of the ACM Symposium on Applied Computing, Page. 1508-1511en_US
dc.identifier.isbn978-145035933-7-
dc.identifier.urihttps://dl.acm.org/citation.cfm?doid=3297280.3297594-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/110841-
dc.description.abstractThis 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.en_US
dc.description.sponsorshipThis work was supported by IITP grant funded by the Korea government(MSIT) (No.2016-6-00599, A Study on Functional Signature and Its Applications and No. 2017-0-00661, Prevention of video image privacy infringement and authentication technique), by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(No. 2017R1A2B4009903 and No. 2016R1D1A1B03934545), and by Basic Research Laboratory Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT&Future Planning(MSIP)(No. 2017R1A4A1015498). H. Oh is a corresponding author.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.subjectPrivacyen_US
dc.subjectAuthenticationen_US
dc.subjectObject detectionen_US
dc.subjectDigital signatureen_US
dc.subjectForward-secure signatureen_US
dc.subjectSurveillanceen_US
dc.titleAILocker: Authenticated Image Locker for Videoen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/3297280.3297594-
dc.relation.page1508-1511-
dc.contributor.googleauthorKim, Jihye-
dc.contributor.googleauthorKo, Hankyung-
dc.contributor.googleauthorOh, Hyunok-
dc.relation.code20190164-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF INFORMATION SYSTEMS-
dc.identifier.pidhoh-
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COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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