Low-Complexity Secure Watermark Encryption for Compressed Sensing-Based Privacy Preserving
Kai-Ni Hou, Ting-Sheng Chen, Hung-Chi Kuo, Tzu-Hsuan Chen, An-Yeu Wu
Abstract
The emerging compressed sensing (CS) technique enables new reduced-complexity designs of sensor nodes and helps to save overall transmission power in wireless sensor network. Because of the linearity of its encoding process, CS is vulnerable to Ciphertext-Only Attack (COA) and Known-Plaintext Attack (KPA). The prior works use multiple sensing matrices as the shared secret key, however, the complexity overhead of frontend sensor and synchronization issue arising from multiple keys should be well considered. In this paper, by leveraging the characteristic of CS that is sensitive to destroyed sparsity, a low-dimension watermark is randomly chosen and embedded in measurement in front-end part. Then, in back-end solver, the proposed decrypting basis can decipher the encrypted signals without synchronization. Simulation results show that the proposed scheme achieves effective protection against COA and KPA with only 5% storage overhead. It furtherly eases the encryption complexity of front-end sensor by 98.8% under our experiments.
BibTeX
@inproceedings{icassp2018_lowcomplexitysec,
title = {Low-Complexity Secure Watermark Encryption for Compressed Sensing-Based Privacy Preserving},
author = {Kai-Ni Hou and Ting-Sheng Chen and Hung-Chi Kuo and Tzu-Hsuan Chen and An-Yeu Wu},
booktitle = {ICASSP 2018},
year = {2018}
}