Security challenges in smart surveillance systems and the solutions based on emerging nano-devices

Conference Paper

© 2016 ACM. Modern smart surveillance systems can not only record the monitored environment but also identify the targeted objects and detect anomaly activities. These advanced functions are often facilitated by deep neural networks, achieving very high accuracy and large data processing throughput. However, inappropriate design of the neural network may expose such smart systems to the risks of leaking the target being searched or even the adopted learning model itself to attackers. In this talk, we will present the security challenges in the design of smart surveillance systems. We will also discuss some possible solutions that leverage the unique properties of emerging nano-devices, including the incurred design and performance cost and optimization methods for minimizing these overheads.

Full Text

Duke Authors

Cited Authors

  • Yang, C; Wu, C; Li, H; Chen, Y; Barnell, M; Wu, Q

Published Date

  • November 7, 2016

Published In

Volume / Issue

  • 07-10-November-2016 /

International Standard Serial Number (ISSN)

  • 1092-3152

International Standard Book Number 13 (ISBN-13)

  • 9781450344661

Digital Object Identifier (DOI)

  • 10.1145/2966986.2980092

Citation Source

  • Scopus