Spatio-Temporal visual security metric for secure mobile video applications

Junhyung Moon, Kyoungwoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

According to the widespread mobile devices and wearable devices, various mobile video applications are emerging. Some of those applications contain sensitive data such as military information so that they need to be protected from anonymous intruders. Thus, several video encryption techniques have been proposed. Accordingly, it has become essential to evaluate the visual security of encrypted videos. Several techniques have attempted to evaluate the visual security in the spatial domain but failed to capture it in the temporal domain. Thus, we present a temporal visual security metric and consequently propose a spatio-temporal visual security metric by combining ours with an existing metric which evaluates the spatial visual security. Our experimental results demonstrate that our proposed metrics appropriately evaluate temporal distortion as well as spatial distortion of encrypted videos while ensuring high correlation with subjective evaluation scores. Further we examine the tradeoff between the energy consumption for mobile video encryption techniques and visual security of encrypted videos. This tradeoff study is useful in determining a right encryption technique which satisfies the energy budget for secure mobile video applications.

Original languageEnglish
Title of host publicationProceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015
PublisherAssociation for Computing Machinery, Inc
Pages9-14
Number of pages6
ISBN (Electronic)9781450333535
DOIs
Publication statusPublished - 2015 Mar 18
Event7th ACM Workshop on Mobile Video, MoVid 2015 - Portland, United States
Duration: 2015 Mar 182015 Mar 20

Publication series

NameProceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015

Other

Other7th ACM Workshop on Mobile Video, MoVid 2015
CountryUnited States
CityPortland
Period15/3/1815/3/20

Fingerprint

Cryptography
Mobile devices
Energy utilization

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Moon, J., & Lee, K. (2015). Spatio-Temporal visual security metric for secure mobile video applications. In Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015 (pp. 9-14). (Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015). Association for Computing Machinery, Inc. https://doi.org/10.1145/2727040.2727047
Moon, Junhyung ; Lee, Kyoungwoo. / Spatio-Temporal visual security metric for secure mobile video applications. Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015. Association for Computing Machinery, Inc, 2015. pp. 9-14 (Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015).
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Moon, J & Lee, K 2015, Spatio-Temporal visual security metric for secure mobile video applications. in Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015. Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015, Association for Computing Machinery, Inc, pp. 9-14, 7th ACM Workshop on Mobile Video, MoVid 2015, Portland, United States, 15/3/18. https://doi.org/10.1145/2727040.2727047

Spatio-Temporal visual security metric for secure mobile video applications. / Moon, Junhyung; Lee, Kyoungwoo.

Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015. Association for Computing Machinery, Inc, 2015. p. 9-14 (Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Moon J, Lee K. Spatio-Temporal visual security metric for secure mobile video applications. In Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015. Association for Computing Machinery, Inc. 2015. p. 9-14. (Proceedings of the 7th ACM Workshop on Mobile Video, MoVid 2015). https://doi.org/10.1145/2727040.2727047