A Framework for Privacy-aware and Secure Decentralized Data Storage

被引:1
|
作者
Aslam, Sidra [1 ,2 ]
Mrissa, Michael [1 ,2 ]
机构
[1] InnoRenew CoE, Livade 6, Izola 6310, Slovenia
[2] Univ Primorska, Fac Math Nat Sci & Informat Technol, Glagoljaska Ulica 8, Koper 6000, Slovenia
关键词
Blockchain; Distributed Hash Table; Security; Privacy; Decentralized framework; SUPPLY CHAIN; TRACEABILITY; CHALLENGES;
D O I
10.2298/CSIS220110007A
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Blockchain technology gained popularity thanks to its decentralized and transparent features. However, it suffers from a lack of privacy as it stores data publicly and has difficulty to handle data updates due to its main feature known as immutability. In this paper, we propose a decentralized data storage and access framework that combines blockchain technology with Distributed Hash Table (DHT), a role-based access control model, and multiple encryption mechanisms. Our framework stores metadata and DHT keys on the blockchain, while encrypted data is managed on the DHT, which enables data owners to control their data. It allows authorized actors to store and read their data in a decentralized storage system. We design REST APIs to ensure interoperability over the Web. Concerning data updates, we propose a pointer system that allows data owners to access their update history, which solves the issue of data updates while preserving the benefits of using the blockchain. We illustrate our solution with a wood supply chain use case and propose a traceability algorithm that allows the actors of the wood supply chain to trace the data and verify product origin. Our framework design allows authorized users to access the data and protects data against linking, eavesdropping, spoofing, and modification attacks. Moreover, we provide a proof-of-concept implementation, security and privacy analysis, and evaluation for time consumption and scalability. The experimental results demonstrate the feasibility, security, privacy, and scalability of the proposed solution.
引用
收藏
页码:1235 / 1261
页数:27
相关论文
共 50 条
  • [31] A Privacy-aware Framework for Online Advertisement Targeting
    Yang, Linlin
    Wang, Wei
    Chen, Yanjiao
    Zhang, Qian
    [J]. 2013 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2013, : 3145 - 3150
  • [32] Privacy-aware crowd counting by decentralized learning with parallel transformers
    Chen, Jinyong
    Gao, Mingliang
    Li, Qilei
    Guo, Xiangyu
    Wang, Jianyong
    Cheng, Jing'an
    Xing, Xuening
    [J]. INTERNET OF THINGS, 2024, 26
  • [33] A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data
    Xu, Xiangqiang
    Zhao, Xinghui
    [J]. 2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS), 2015, : 1344 - 1349
  • [34] On Secure and Privacy-Aware Sybil Attack Detection in Vehicular Communications
    Hussain, Rasheed
    Oh, Heekuck
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2014, 77 (04) : 2649 - 2673
  • [35] Privacy-Aware Data-Intensive Applications
    Guerriero, Michele
    [J]. PROCEEDINGS OF THE 2017 32ND IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE'17), 2017, : 1030 - 1033
  • [36] Optimizing Secure Classification Performance with Privacy-Aware Feature Selection
    Pattuk, Erman
    Kantarcioglu, Murat
    Ulusoy, Huseyin
    Malin, Bradley
    [J]. 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2016, : 217 - 228
  • [37] A privacy-aware authentication and usage-controlled access protocol for IIoT decentralized data marketplace
    Dixit, Akanksha
    Zarpelao, Bruno Bogaz
    Smith-Creasey, Max
    Rajarajan, Muttukrishnan
    [J]. COMPUTERS & SECURITY, 2024, 146
  • [38] Data Curation from Privacy-Aware Agents
    Shahmoon, Roy
    Smorodinsky, Rann
    Tennenholtz, Moshe
    [J]. ALGORITHMIC GAME THEORY, SAGT 2022, 2022, 13584 : 366 - 382
  • [39] On Secure and Privacy-Aware Sybil Attack Detection in Vehicular Communications
    Rasheed Hussain
    Heekuck Oh
    [J]. Wireless Personal Communications, 2014, 77 : 2649 - 2673
  • [40] Privacy-Aware Blind Cloud Framework for Advanced Healthcare
    Sarkar, Subhadeep
    Chatterjee, Subarna
    Misra, Sudip
    Kudupudi, Rajesh
    [J]. IEEE COMMUNICATIONS LETTERS, 2017, 21 (11) : 2492 - 2495