Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles

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Title:	Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles
Authors:	P.avle Dakic ; M. Zivkovic ; L. Jovanovic ; N. Bacanin ; M. Antonijevic ; J. Kaljevic ; V. Simic
Issue Date:	2024
Publication:	Scientific Reports
ISSN:	2045-2322 Scientific Reports Search Idenfier
Type:	Article
Collation:	vol. 14 br. 1 str. 1-26
DOI:	10.1038/s41598-024-73932-5
WoS-ID:	001327205300019
Scopus-ID:	2-s2.0-85205528473
PMID:	39358433
PMCID:	PMC11447263
URI:	https://www.nature.com/articles/s41598-024-73932-5 https://enauka.gov.rs/handle/123456789/941582 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10173 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10728
URL:	https://www.nature.com/articles/s41598-024-73932-5
Project:	Erasmus+ ICM [2023-1-SK01-KA171-HED-000148295] KEGA [014STU-4/2024] Slovak national project Increasing Slovakia's Resilience Against Hybrid Threats by Strengthening Public Administration Capacities [314011CDW7] European Regional Development Fund (ERDF) Operational Programme Integrated Infrastructure for the project: Research in the SANET network and possibilities of its further use and development [313011W988] ERDF European Union [101004887] Science Fund of the Republic of Serbia [7373, 7502]
M-category:	21M21

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