Privacy-Preserving Zero-Sum-Path Evaluation of Decision Tress in Postquantum Industrial IoT

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dc.authorid0000-0001-8035-8683en_US
dc.contributor.authorKjamilji, Artrim
dc.date.accessioned2024-05-20T08:32:53Z
dc.date.available2024-05-20T08:32:53Z
dc.date.issued2024en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractA server has a trained machine learning model in the form of a decision tree (DT), while one or more client(s) have unlabeled queries that they wish to classify using the server's model under strict security, privacy, and efficiency requirements on both sides. To do so, initially, based on lightweight cryptographic primitives, which are shown to be resistant to quantum computer attacks, a few secure buildings are adopted, improved, and adjusted to fit this scenario. On top of them, a novel secure and private DT evaluation and its extension over malicious clients protocols are proposed, which are both proven to be secure. In the process, we use the sum of paths of inner nodes from the root to the leaves of the DT, which in turn utilizes the comparison of threshold values of the tree nodes and the corresponding query feature values (entries). Theoretical analysis and extensive experimental evaluations over benchmark datasets show that the proposed protocols outperform the majority (if not all) of the related state-of-the-art schemes in terms of computation and communication costs as well as on security and privacy characteristics. Furthermore, the proposed protocols are shown to be resistant to side-channel attacks. This makes the proposed protocol suitable for the postquantum world of the industrial Internet of Things, which demands strict security and privacy requirements on devices with restricted hardware/networking resources.en_US
dc.identifier.doi10.1109/TII.2024.3384523en_US
dc.identifier.scopus2-s2.0-85192191629en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/7272
dc.identifier.urihttps://doi.org/10.1109/TII.2024.3384523
dc.identifier.wosWOS:001214370100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions On Industrial Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectClassification, Decision trees (DTs), Homomorphic encryption, Machine learning (ML), Malicious clients, Postquantum cryptography, Secure industrial Internet of Things (IIoT)en_US
dc.titlePrivacy-Preserving Zero-Sum-Path Evaluation of Decision Tress in Postquantum Industrial IoTen_US
dc.typeArticleen_US

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