An Efficient FHE-based Ciphertext Matrix Multiplication Algorithm
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee Computer Soc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
People 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.
Açıklama
24th International Conference on Trust Security and Privacy in Computing and Communications-TRUSTCOM-Annual -- NOV 14-17, 2025 -- Guiyang, PEOPLES R CHINA
Anahtar Kelimeler
Privacy Preservation, Fully Homomorphic Encryption, Matrix Multiplication
Kaynak
2025 Ieee 24Th International Conference on Trust, Security and Privacy in Computing and Communications, Trustcom
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
