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https://dspace.iiti.ac.in/handle/123456789/12208
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DC Field | Value | Language |
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dc.contributor.advisor | Sengupta, Anirban | - |
dc.contributor.author | Bharath, Kollanur | - |
dc.date.accessioned | 2023-08-22T04:32:00Z | - |
dc.date.available | 2023-08-22T04:32:00Z | - |
dc.date.issued | 2023-02-08 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/12208 | - |
dc.description.abstract | This thesis presents two novel methodologies for securing intellectual property (IP) core designs against hardware security threats. The first methodology is a quadruple-phase watermarking technique for securing hardware IP cores during high-level synthesis (HLS). In contrast, the second methodology explores unified biometrics with an encoded dictionary for the hardware security of fault-secured digital signal processing (DSP) intellectual property (IP) core designs. The first methodology addresses the issue of IP piracy and ownership infringement that poses a significant threat to the security of authentic IP vendors. The proposed quadruple-phase watermarking technique employs graph portioning, encoding tree, and eightfold mapping to generate a robust watermarking signature. The signature is embedded at four stages of HLS, including scheduling, register binding, resource binding, and interconnect binding, to ensure high-quality hardware security constraints. The results demonstrate a considerable decrease in the probability of coincidence and a higher level of tamper tolerance compared to the state-of-the-art techniques without incurring a significant design cost overhead. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Computer Science and Engineering, IIT Indore | en_US |
dc.relation.ispartofseries | MSR033; | - |
dc.subject | Computer Science and Engineering | en_US |
dc.title | Encoded encryption and biometrics for high-level synthesis based hardware security against IP piracy and fraud IP ownership | en_US |
dc.type | Thesis_MS Research | en_US |
Appears in Collections: | Department of Computer Science and Engineering_ETD |
Files in This Item:
File | Description | Size | Format | |
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MSR033_Kollanur_Bharath_2104101004.pdf | 10.64 MB | Adobe PDF | View/Open |
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