PATROL: an evolutionary APproach to Automatic Test Pattern Generation for hardware TROjan detection leveraging PSO-GA hybrid techniques
author
Hosseini, Mostafa
Azarpeyvand, Ali
Ghasempouri, Tara
statement of authorship
Mostafa Hosseini, Ali Azarpeyvand, Tara Ghasempouri
source
Proceedings of the 2024 IEEE 33rd Asian Test Symposium : ATS 2024 : Ahmedabad, India, 17-20 December 2024
location of publication
Piscataway, NJ
publisher
IEEE
year of publication
2024
pages
6 p.
conference name, date
33rd IEEE Asian Test Symposium, ATS 2024, 17-20 December 2024
conference location
Ahmedabad
url
https://doi.org/10.1109/ATS64447.2024.10915294
subject term
algoritmid
riistvara
küberturve
pooljuhid
Scopus
https://www.scopus.com/sourceid/14494
https://www.scopus.com/pages/publications/105001104064?inward
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001480998100015
quartile
Q3
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
keyword
genetic algorithm
Hardware Trojan
hybrid metaheuristic
particle swarm optimization
test generation
ISBN
979-833152916-1
notes
Bibliogr.: 16 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise