An Efficient FHE-based Ciphertext Matrix Multiplication Algorithm

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dc.contributor.authorWang, Yihan
dc.contributor.authorXue, Xiangjun
dc.contributor.authorLiang, Jingyong
dc.contributor.authorGuan, Donghai
dc.contributor.authorKoc, Cetin Kaya
dc.date.accessioned2026-07-01T11:39:45Z
dc.date.available2026-07-01T11:39:45Z
dc.date.issued2025
dc.departmentDüzce Üniversitesi
dc.description24th International Conference on Trust Security and Privacy in Computing and Communications-TRUSTCOM-Annual -- NOV 14-17, 2025 -- Guiyang, PEOPLES R CHINA
dc.description.abstractPeople have a hard time using cloud computing because of rules concerning privacy and security in fields like healthcare and banking. Fully Homomorphic Encryption (FHE) lets computers work with encrypted data, but it puts a lot of burden on them. This paper introduces SMMHE (Secure Matrix Multiplication with FHE), a novel element-wise approach that enhances SIMD parallelism in contemporary FHE frameworks to mitigate costly rotation operations. SMMHE is 3.98x faster than the most common FHE-based multiplication techniques, according to thorough testing. This big speedup, which cuts the difference in performance between encrypted and plaintext computation by a lot, makes it much easier to use privacy-preserving cloud applications in real life, like classifying medical images. For encrypted MNIST classification, the amortized duration of 26 ms per image is an excellent example of this.
dc.description.sponsorshipInstitute of Electrical and Electronics Engineers Inc,Guizhou University,Guizhou Institute of Technology,Zhengzhou University
dc.identifier.doi10.1109/Trustcom66490.2025.00184
dc.identifier.endpage1591
dc.identifier.isbn979-8-3315-6533-6
dc.identifier.isbn979-8-3315-6532-9
dc.identifier.issn2324-898X
dc.identifier.scopus2-s2.0-105033677190
dc.identifier.scopusqualityN/A
dc.identifier.startpage1586
dc.identifier.urihttps://doi.org/10.1109/Trustcom66490.2025.00184
dc.identifier.urihttps://hdl.handle.net/20.500.12684/23457
dc.identifier.wosWOS:001711528900176
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee Computer Soc
dc.relation.ispartof2025 Ieee 24Th International Conference on Trust, Security and Privacy in Computing and Communications, Trustcom
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260623
dc.subjectPrivacy Preservation
dc.subjectFully Homomorphic Encryption
dc.subjectMatrix Multiplication
dc.titleAn Efficient FHE-based Ciphertext Matrix Multiplication Algorithm
dc.typeConference Object

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