Non-linear Approximation Intellectual Property Targeting Edge Inferencing in Field Programmable Gate Array

Author(s):  
Teo Sje Yin ◽  
Ong Soon Ee ◽  
Lee Siaw Chen ◽  
P. Ehkan ◽  
R.A.A. Raof
2018 ◽  
Vol 10 (6) ◽  
pp. 168781401877605 ◽  
Author(s):  
Jing Long ◽  
Dafang Zhang ◽  
Wei Liang ◽  
Zuoting Ning ◽  
Qingyong Zhang

Except the network attacks, the industrial networked devices in Internet of things are also threatened by intellectual property infringement. Watermarking technique is a prevalent way to avoid this threat. Previous work on authenticating a watermark in industrial intellectual properties easily discloses sensitive information of real embedded watermarks. In this case, the evidence of identifying the ownership of industrial intellectual property may be attacked by the illegal verifiers. Although several watermark detection techniques can address the disclosure of sensitive information in detection procedure, the efficiency of detection is relatively low. Besides, it may yield large communication overhead of multiple authentication rounds. Motivated by the needs of robustness and efficiency, this work proposed a zero-knowledge approach to authenticate ownership of field-programmable gate array intellectual property design in industrial environment, named NIWAS. The prover can convince the verifier that he knows a secret in the suspected intellectual property design via only one interaction. Real locations of watermarks are concealed through location obfuscation. With the received authentication package from the prover, the verifier cannot obtain other useful information about the watermarks. The experiments show that NIWAS achieves high efficiency and robustness of watermark detection.


2008 ◽  
Author(s):  
Michael Wirthlin ◽  
Brent Nelson ◽  
Brad Hutchings ◽  
Peter Athanas ◽  
Shawn Bohner

2020 ◽  
Vol 91 (10) ◽  
pp. 104707
Author(s):  
Yinyu Liu ◽  
Hao Xiong ◽  
Chunhui Dong ◽  
Chaoyang Zhao ◽  
Quanfeng Zhou ◽  
...  

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