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Low-cost and confidentiality-preserving data acquisition for Internet of Multimedia Things

journal contribution
posted on 2018-10-01, 00:00 authored by Yushu Zhang, Q He, Yong XiangYong Xiang, Leo ZhangLeo Zhang, Bo Liu, J Chen, Y Xie
IEEE Internet of Multimedia Things (IoMT) faces the challenge of how to realize low-cost data acquisition while still preserve data confidentiality. In this work, we present a low-cost and confidentiality-preserving data acquisition framework for IoMT. Firstly, we harness chaotic convolution and random subsampling to capture multiple image signals. The measurement matrix is under the control of chaos, ensuring the security of the sampling process. Next, we assemble these sampled images into a big master image, and then encrypt this master image based on Arnold transform and single value diffusion. The computation of these two transforms only requires some low-complexity operations. Finally, the encrypted image is delivered to cloud servers for storage and decryption service. Experimental results demonstrate the security and effectiveness of the proposed framework.

History

Journal

IEEE Internet of things journal

Volume

5

Issue

5

Pagination

3442 - 3451

Publisher

Institute of Electrical and Electronics Engineers

Location

Piscataway, N.J.

eISSN

2327-4662

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2017, IEEE