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Title: | High-level synthesis-based watermarking using multimodal biometric |
Authors: | Sengupta, Anirban Anshul, Aditya |
Issue Date: | 2024 |
Publisher: | Institution of Engineering and Technology |
Citation: | Sengupta, A., & Anshul, A. (2024). High-level synthesis-based watermarking using multimodal biometric. In A. Sengupta, High-Level Synthesis based Methodologies for Hardware Security, Trust and IP Protection (pp. 109–135). Institution of Engineering and Technology. https://doi.org/10.1049/PBCS084E_ch5 |
Abstract: | This chapter discusses hardware security methodologies for securing the transient fault-secured hardware intellectual property (IP) designs using unified multimodal biometric and an encoded dictionary. The explained framework leverages a high-level synthesis (HLS) process to create transient fault-secured hardware IPs. Further, it integrates encoded unified biometric-based hardware security constraints into the hardware design to protect the designs from IP piracy and false IP ownership claim. This ensures the creation of watermarked fault-secured hardware designs, thereby enhancing IP seller’s and end consumer’s safety by mitigating the risk of using pirated/unreliable designs. The discussed watermarking methodologies provide stronger digital evidence for piracy detection and greater resilience against tampering attack. © The Institution of Engineering and Technology and its licensors 2024. |
URI: | https://doi.org/10.1049/PBCS084E_ch5 https://dspace.iiti.ac.in/handle/123456789/15191 |
Type of Material: | Book Chapter |
Appears in Collections: | Department of Computer Science and Engineering |
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