A Framework for Privacy-Preserving Multiparty Computation with Homomorphic Encryption and Zero-Knowledge Proofs

被引：0
|
作者：
Dhokrat, Janak [1 ]
Pulgam, Namita [1 ]
Maktum, Tabassum [2 ]
Mane, Vanita [1 ]
机构：
[1] Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Maharashtra, Navi Mumbai, India
[2] Department of Computer Engineering, School of Engineering & Technology, Anjuman I Islam’s Kalsekar Technical Campus, Maharashtra, New Panvel, India
来源：
Informatica (Slovenia) | 2024年 / 48卷 / 21期
关键词：
D O I：
10.31449/inf.v48i21.6562
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1 / 13
相关论文
共 50 条
  • [21] A privacy-preserving parallel and homomorphic encryption scheme
    Min, Zhaoe
    Yang, Geng
    Shi, Jingqi
    OPEN PHYSICS, 2017, 15 (01): : 135 - 142
  • [22] Mathematical Proposal for Securing Split Learning Using Homomorphic Encryption and Zero-Knowledge Proofs
    Kokaj, Agon
    Mollakuqe, Elissa
    APPLIED SCIENCES-BASEL, 2025, 15 (06):
  • [23] A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
    Yang, Wencheng
    Wang, Song
    Cui, Hui
    Tang, Zhaohui
    Li, Yan
    SENSORS, 2023, 23 (07)
  • [24] A Secure Framework for Privacy-Preserving Analytics in Healthcare Records Using Zero-Knowledge Proofs and Blockchain in Multi-Tenant Cloud Environments
    Babu, S. Bharath
    Jothi, K. R.
    IEEE ACCESS, 2025, 13 : 8439 - 8455
  • [25] Zero-Knowledge from Secure Multiparty Computation
    Ishai, Yuval
    Kushilevitz, Eyal
    Ostrovsky, Rafail
    Sahai, Amit
    STOC 07: PROCEEDINGS OF THE 39TH ANNUAL ACM SYMPOSIUM ON THEORY OF COMPUTING, 2007, : 21 - 30
  • [26] Using Fully Homomorphic Hybrid Encryption to Minimize Non-interative Zero-Knowledge Proofs
    Craig Gentry
    Jens Groth
    Yuval Ishai
    Chris Peikert
    Amit Sahai
    Adam Smith
    Journal of Cryptology, 2015, 28 : 820 - 843
  • [27] Using Fully Homomorphic Hybrid Encryption to Minimize Non-interative Zero-Knowledge Proofs
    Gentry, Craig
    Groth, Jens
    Ishai, Yuval
    Peikert, Chris
    Sahai, Amit
    Smith, Adam
    JOURNAL OF CRYPTOLOGY, 2015, 28 (04) : 820 - 843
  • [28] Privacy-Preserving Neural Network Inference Framework via Homomorphic Encryption and SGX
    Xiao, Huizi
    Zhang, Qingyang
    Pei, Qingqi
    Shi, Weisong
    2021 IEEE 41ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2021), 2021, : 751 - 761
  • [29] Privacy-Preserving Decentralized Optimization Using Homomorphic Encryption
    Huo, Xiang
    Liu, Mingxi
    IFAC PAPERSONLINE, 2020, 53 (05): : 630 - 633
  • [30] Privacy-Preserving Swarm Learning Based on Homomorphic Encryption
    Chen, Lijie
    Fu, Shaojing
    Lin, Liu
    Luo, Yuchuan
    Zhao, Wentao
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2021, PT III, 2022, 13157 : 509 - 523
12345