IP-Cores Watermarking Scheme at Behavioral Level Using Genetic Algorithms

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Echavarria Gutiérrez JA, Morales-Reyes A, Cumplido R, Salido M, Feregrino C
Zeitschrift: Engineering Applications of Artificial Intelligence
Jahr der Veröffentlichung: 2019
ISSN: 0952-1976
Sprache: Englisch


Abstract

This paper proposes an improved scheme to watermark soft Intellectual Property (IP) Cores using Genetic Algorithms (GAs). For this purpose, a water-mark signature and an IP-Core behavioral description are translated into FiniteState Machines (FSMs).  Both FSMs are merged into one that contains the watermarked IP-Core preserving its original functionality without disruption. However, a key problem of the resulting FSM is dealing with not deeply embedded states that allow the watermark to be removed. In order to overcome this problem, an FSM reduction process is necessary. Both, FSMs merging and reduction are NP-complete problems that can be tackled via GAs. The proposed watermarking scheme shows a significant improvement in terms of reduction and watermark embedding strength.


FAU-Autoren / FAU-Herausgeber

Echavarria Gutiérrez, Jorge Alfonso
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Echavarria Gutiérrez, J.A., Morales-Reyes, A., Cumplido, R., Salido, M., & Feregrino, C. (2019). IP-Cores Watermarking Scheme at Behavioral Level Using Genetic Algorithms. Engineering Applications of Artificial Intelligence.

MLA:
Echavarria Gutiérrez, Jorge Alfonso, et al. "IP-Cores Watermarking Scheme at Behavioral Level Using Genetic Algorithms." Engineering Applications of Artificial Intelligence (2019).

BibTeX: 

Zuletzt aktualisiert 2019-16-01 um 13:08