Ailocker

Authenticated image locker for video

Jihye Kim, Hankyung Ko, Hyunok Oh

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

This paper proposes a new object-based authenticated encryption scheme with a constant sized signature. We combine the deep learning 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 generation (10.5ms per frame) and a constant signature size overhead.

Original languageEnglish
Title of host publicationProceedings of the ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Pages1508-1511
Number of pages4
ISBN (Print)9781450359337
DOIs
StatePublished - 2019 Jan 1
Event34th Annual ACM Symposium on Applied Computing, SAC 2019 - Limassol, Cyprus
Duration: 2019 Apr 82019 Apr 12

Publication series

NameProceedings of the ACM Symposium on Applied Computing
VolumePart F147772

Conference

Conference34th Annual ACM Symposium on Applied Computing, SAC 2019
CountryCyprus
CityLimassol
Period19/04/819/04/12

Fingerprint

Electronic document identification systems
Learning algorithms
Cryptography
Real time systems
Deep learning

Keywords

  • Authentication
  • Digital signature
  • Forward-secure signature
  • Object detection
  • Privacy
  • Surveillance

Cite this

Kim, J., Ko, H., & Oh, H. (2019). Ailocker: Authenticated image locker for video. In Proceedings of the ACM Symposium on Applied Computing (pp. 1508-1511). (Proceedings of the ACM Symposium on Applied Computing; Vol. Part F147772). Association for Computing Machinery. https://doi.org/10.1145/3297280.3297594
Kim, Jihye ; Ko, Hankyung ; Oh, Hyunok. / Ailocker : Authenticated image locker for video. Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, 2019. pp. 1508-1511 (Proceedings of the ACM Symposium on Applied Computing).
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Kim, J, Ko, H & Oh, H 2019, Ailocker: Authenticated image locker for video. in Proceedings of the ACM Symposium on Applied Computing. Proceedings of the ACM Symposium on Applied Computing, vol. Part F147772, Association for Computing Machinery, pp. 1508-1511, 34th Annual ACM Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, 19/04/8. https://doi.org/10.1145/3297280.3297594

Ailocker : Authenticated image locker for video. / Kim, Jihye; Ko, Hankyung; Oh, Hyunok.

Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, 2019. p. 1508-1511 (Proceedings of the ACM Symposium on Applied Computing; Vol. Part F147772).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Kim J, Ko H, Oh H. Ailocker: Authenticated image locker for video. In Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery. 2019. p. 1508-1511. (Proceedings of the ACM Symposium on Applied Computing). https://doi.org/10.1145/3297280.3297594