By: Anirban Sengupta (Indian Institute of Technology, Indore), Rahul Chaurasia (Indian Institute of Technology, Indore)
Stage: RTL, High-Level Synthesis
Summary
Dr. Anirban Sengupta and his team have developed a Molecular biometric based hardware security tool to simulate and analyse the design space exploration method producing secure design solutions for data intensive application frameworks with ability of k-cycle transient fault detection and/or error correction and detective control against piracy and false claim of ownership threats and generation of an optimal k-cycle transient fault detectable and /or fault correctable datapath processors with embedded protein biometric signature sample of an intellectual property (IP) vendor during high-level synthesis of integrated circuits (ICs).Contact
Anirban SenguptaInput/Output Interface
- Input: Intermediate representation of the data intensive application (data flow graph), module library, protein sequence of IP vendor, facial biometric image of IP vendor, AES encryption key, resource configuration, IP vendor specified encoding algorithm, HLS scheduling algorithm, transient fault strength (Kc)
- Output: Protein molecular signature embedded register allocation information of IP design, design cost, latency and area of the IP design
Dependencies
Windows OSReferences
Robust Security of Hardware Accelerators Using Protein Molecular Biometric Signature and Facial Biometric Encryption Key Journal Article
In: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 6, pp. 826–839, 2023.
Acknowledgments
- INDIAN INSTITUTE OF TECHNOLOGY INDORE, INDIA