LEADER 01756nam 2200385 450 001 996574861003316 005 20231213215802.0 010 $a1-5044-7986-6 024 7 $a10.1109/IEEESTD.2021.9604029 035 $a(CKB)4100000012108942 035 $a(NjHacI)994100000012108942 035 $a(EXLCZ)994100000012108942 100 $a20231213d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2842-2021 $eIEEE Recommended Practice for Secure Multi-Party Computation /$fInstitute of Electrical and Electronics Engineers 210 1$aNew York, NY, USA :$cIEEE,$d2021. 215 $a1 online resource (30 pages) 330 $aData has become one of the most important assets in ICT area. Secure multi-party computation plays a very important role in balancing data usage and data protection. It could build trust and security in data collaboration and big data analysis related areas. A technical framework for secure multi-party computation is provided in this standard, including specifying the following: an overview of secure multi-party computation; a technical framework of secure multi-party computation; security levels of secure multi-party computation; and use cases based on secure multi-party computation. 606 $aData encryption (Computer science) 606 $aComputer security$xManagement 606 $aCryptography 615 0$aData encryption (Computer science) 615 0$aComputer security$xManagement. 615 0$aCryptography. 676 $a005.82 801 0$bNjHacI 801 1$bNjHacl 906 $aDOCUMENT 912 $a996574861003316 996 $a2842-2021$93651220 997 $aUNISA