<manifestation xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tucdl="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" xmlns="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" keyIdentifier="http://purl.tuc.gr/dl/dias/93875513-F6F4-4D1B-B9EE-7D60F9B5F37E" xsi:schemaLocation="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/ http://purl.tuc.gr/dl/dias/schemas/aip/tucdl"><titleOfTheManifestation>Hatzivasilis_et_al_Appl. Sci._10(14)_2020.pdf</titleOfTheManifestation><isEmbodimentOf entityType="Expression"><uri>http://purl.tuc.gr/dl/dias/EDDEEC37-1975-439B-8556-21EA1A19413C</uri><title xml:lang="en">Artificial intelligence-driven composition and security validation of an Internet of Things ecosystem</title></isEmbodimentOf><accessRestrictionOnTheManifestation>free</accessRestrictionOnTheManifestation><dateOfPublicationDistribution>2021-07-13</dateOfPublicationDistribution><formOfCarrier>application/pdf</formOfCarrier><extentOfTheCarrier xml:lang="en">3.2 MB</extentOfTheCarrier></manifestation>