PROJECT TITLE :

Embedding of signatures in reconfigurable scan architecture for authentication of intellectual properties in system-on-chip

ABSTRACT:

Signature-based mostly authentication is employed often to authenticate hardware intellectual property (IP) when it is reused on a plug-and-play system-on-chip. A signature embedded within the functional/test part of a hardware IP can easily be verified because it can be generated and observed as functional/scan output of the hardware IP for a certain input key vector. An existing scan-based approach for embedding signature inserts signature through reordering of scan cells in a very single scan (SS) chain. But, it's not applicable to the recent reconfigurable scan architectures having reduced check application time. We tend to propose a theme for embedding two distinct signatures separately in an exceedingly reconfigurable scan design and verifying those without conflict from the packaged chip by using 2 distinct check modes of the reconfigurable design: namely, scan tree mode and SS mode. The two signatures might include one from logic IP source and the other from physical IP supply. The overhead in both routing and power has been minimised in our theme. Experimental results on design overhead and robustness for ISCAS89 benchmarks are terribly encouraging.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding - 2018ABSTRACT:Feature extraction may be a terribly vital step for polarimetric artificial aperture radar (PolSAR) image
PROJECT TITLE :Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane - 2018ABSTRACT:Hyperbolic geometry seems to be intrinsic in many large real networks. We construct and implement a new maximum chance estimation algorithm
PROJECT TITLE :Leveraging Conceptualization for Short-Text Embedding - 2018ABSTRACT:Most short-text embedding models sometimes represent each short-text solely using the literal meanings of the words, that makes these models indiscriminative
PROJECT TITLE :Low Rank Embedding For Robust Image Feature Extraction - 2017ABSTRACT:Robustness to noises, outliers, and corruptions is a crucial issue in linear dimensionality reduction. Since the sample-specific corruptions
PROJECT TITLE : Polar Embedding for Aurora Image Retrieval - 2015 ABSTRACT: Exploring the multimedia techniques to assist scientists for his or her research is an fascinating and meaningful topic. In this paper, we focus on

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry