On the feasibility of using evolvable hardware for hardware Trojan detection and prevention
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @Article{LABAFNIYA:2020:ASC,
-
author = "Mansoureh Labafniya and Stjepan Picek and
Shahram {Etemadi Borujeni} and Nele Mentens",
-
title = "On the feasibility of using evolvable hardware for
hardware Trojan detection and prevention",
-
journal = "Applied Soft Computing",
-
volume = "91",
-
pages = "106247",
-
year = "2020",
-
ISSN = "1568-4946",
-
DOI = "doi:10.1016/j.asoc.2020.106247",
-
URL = "http://www.sciencedirect.com/science/article/pii/S1568494620301873",
-
keywords = "genetic algorithms, genetic programming, Evolvable
Hardware (EH), Virtual Reconfigurable Circuit (VRC),
Hardware security, Hardware Trojan Horse (HTH),
Field-Programmable Gate Array (FPGA)",
-
abstract = "Evolvable hardware (EH) architectures are capable of
changing their configuration and behavior dynamically
based on inputs from the environment. In this paper, we
investigate the feasibility of using EH to prevent
Hardware Trojan Horses (HTHs) from being inserted,
activated, or propagated in a digital electronic chip.
HTHs are malicious hardware components that intend to
leak secret information or cause malfunctioning at
run-time in the chip in which they are integrated. We
hypothesize that EH can detect internal circuit errors
at run-time and reconfigure to a state in which the
errors are no longer present. We implement a Virtual
Reconfigurable Circuit (VRC) on a Field-Programmable
Gate Array (FPGA) that autonomously and periodically
reconfigures itself based on an Evolutionary Algorithm
(EA). New VRC configurations are generated with an
on-chip EA engine. We show that the presented approach
is applicable in a scenario in which (1) the
HTH-critical areas in the circuit are known in advance,
and (2) the VRC is a purely combinatorial circuit, as
opposed to the on-chip memory holding the golden
reference, which requires one or more cycles to be
read/written. We compare two different approaches for
protecting the system against HTHs: Genetic Programming
(GP) and Cartesian Genetic Programming (CGP). The paper
reports on experiments on four benchmark circuits and
gives an overview of both the limitations and the added
value of the presented approaches",
- }
Genetic Programming entries for
Mansoureh Labafniya
Stjepan Picek
Shahram Etemadi Borujeni
Nele Mentens
Citations