{"title":"MDS Variable Generation and Secure Summation With User Selection","authors":"Yizhou Zhao;Hua Sun","doi":"10.1109/TIT.2025.3541551","DOIUrl":null,"url":null,"abstract":"A collection of <italic>K</i> random variables are called <inline-formula> <tex-math>$(K,n)$ </tex-math></inline-formula>-MDS if any <italic>n</i> of the <italic>K</i> variables are independent and determine all remaining variables. In the MDS variable generation problem, <italic>K</i> users wish to generate variables that are <inline-formula> <tex-math>$(K,n)$ </tex-math></inline-formula>-MDS using a randomness variable owned by each user. We show that to generate 1 bit of <inline-formula> <tex-math>$(K,n)$ </tex-math></inline-formula>-MDS variables for each <inline-formula> <tex-math>$n \\in \\{1,2,\\cdots , K\\}$ </tex-math></inline-formula>, the minimum size of the randomness variable at each user is <inline-formula> <tex-math>$1 + 1/2 + \\cdots + 1/K$ </tex-math></inline-formula> bits. An intimately related problem is secure summation with user selection, where a server may select an arbitrary subset of <italic>K</i> users and securely compute the sum of the inputs of the selected users. We show that to compute 1 bit of an arbitrarily chosen sum securely, the minimum size of the key held by each user is <inline-formula> <tex-math>$1 + 1/2 + \\cdots + 1/(K-1)$ </tex-math></inline-formula> bits, whose achievability uses the generation of <inline-formula> <tex-math>$(K,n)$ </tex-math></inline-formula>-MDS variables for <inline-formula> <tex-math>$n \\in \\{1,2,\\cdots ,K-1\\}$ </tex-math></inline-formula>.","PeriodicalId":13494,"journal":{"name":"IEEE Transactions on Information Theory","volume":"71 4","pages":"3129-3141"},"PeriodicalIF":2.2000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Theory","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10884617/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
A collection of K random variables are called $(K,n)$ -MDS if any n of the K variables are independent and determine all remaining variables. In the MDS variable generation problem, K users wish to generate variables that are $(K,n)$ -MDS using a randomness variable owned by each user. We show that to generate 1 bit of $(K,n)$ -MDS variables for each $n \in \{1,2,\cdots , K\}$ , the minimum size of the randomness variable at each user is $1 + 1/2 + \cdots + 1/K$ bits. An intimately related problem is secure summation with user selection, where a server may select an arbitrary subset of K users and securely compute the sum of the inputs of the selected users. We show that to compute 1 bit of an arbitrarily chosen sum securely, the minimum size of the key held by each user is $1 + 1/2 + \cdots + 1/(K-1)$ bits, whose achievability uses the generation of $(K,n)$ -MDS variables for $n \in \{1,2,\cdots ,K-1\}$ .
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.