A blockchain framework data integrity enhanced recommender system

被引:4
|
作者
Altulyan, May [1 ,2 ]
Yao, Lina [1 ]
Kanhere, Salil [1 ]
Huang, Chaoran [1 ]
机构
[1] UNSW Sydney, Sch Comp Sci & Engn, Kensington, NSW, Australia
[2] Prince Sattam Bin Abdulaziz Univ, Coll Comp Engn & Sci, Al Kharj, Saudi Arabia
关键词
blockchain; data integrity; Internet of Things; smart homes; SECURITY; INTERNET;
D O I
10.1111/coin.12548
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recommender system for the IoT (RSIoT) has attracted considerable attention. By leveraging emerging technologies such as the Internet of Things (IoT), artificial intelligence, and blockchain, RSIoT improves various indicators of residents' life. However, data integrity threats may affect the accuracy and consistency of the data particularly in the IoT environment where most devices are inherently dynamic and have limited resources that could fail in ensuring the quality of data transmission. Prior work has focused on processing big data and ensuring their integrity by considering cloud storage service as the popular way. In this article, we address integrity of data leveraging blockchain capabilities to ensure the integrity of the critical data. We adapted the Ethereum blockchain to our RCS for ensuring integrity of data during sharing them between doctor and patient without handling their data by third party. We build four smart contracts that enable our system of gaining more advantage of blockchain. We evaluated the performance of our smart contracts in Kovan and Rinkeby test networks. The preliminary results show the feasibility and effectiveness of the proposed solution.
引用
收藏
页码:104 / 120
页数:17
相关论文
共 50 条
  • [31] Hybrid Recommender System for Tourism Based on Big Data and AI:A Conceptual Framework
    Khalid AL Fararni
    Fouad Nafis
    Badraddine Aghoutane
    Ali Yahyaouy
    Jamal Riffi
    Abdelouahed Sabri
    Big Data Mining and Analytics, 2021, (01) : 47 - 55
  • [32] Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
    Al Fararni, Khalid
    Nafis, Fouad
    Aghoutane, Badraddine
    Yahyaouy, Ali
    Riffi, Jamal
    Sabri, Abdelouahed
    BIG DATA MINING AND ANALYTICS, 2021, 4 (01) : 47 - 55
  • [33] An Intelligent Medicine Recommender System Framework
    Bao, Youjun
    Jiang, Xiaohong
    PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2016, : 1383 - 1388
  • [34] An Agent Framework of Tourism Recommender System
    Jia, Zhi Yang
    Gao, Wei
    Shi, Yi Jin
    2016 INTERNATIONAL CONFERENCE ON ELECTRONIC, INFORMATION AND COMPUTER ENGINEERING, 2016, 44
  • [35] Mitigation of Data Integrity Attacks using Blockchain-based Intelligent Transportation System
    Medel, Danica Kate S.
    Perez, Benoni Augustus M.
    Vincent Alpano, Paul
    Rhodette Pedrasa, Jhoanna
    2021 26TH IEEE ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS {APCC), 2021, : 13 - 18
  • [36] PrivySharing: A Blockchain-based Framework for Integrity and Privacy-preserving Data Sharing in Smart Cities
    Makhdoom, Imran
    Zhou, Ian
    Abolhasan, Mehran
    Lipman, Justin
    Ni, Wei
    PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS, VOL 2: SECRYPT, 2019, : 363 - 371
  • [37] A reputation-enhanced recommender system
    Abdel-Hafez, Ahmad
    Tang, Xiaoyu
    Tian, Nan
    Xu, Yue
    Abdel-Hafez, Ahmad, 1600, Springer Verlag (8933): : 185 - 198
  • [38] Sentimentally enhanced conversation recommender system
    Liu, Fengjin
    Cao, Qiong
    Huang, Xianying
    Liu, Huaiyu
    COMPLEX & INTELLIGENT SYSTEMS, 2025, 11 (02)
  • [39] A Reputation-Enhanced Recommender System
    Abdel-Hafez, Ahmad
    Tang, Xiaoyu
    Tian, Nan
    Xu, Yue
    ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014, 2014, 8933 : 185 - 198
  • [40] Enhanced Similarities for a Music Recommender System
    Gavriilidis, Vasileios
    Tefas, Anastasios
    Kotropoulos, Constantine
    Nikolaidis, Nikos
    2016 DIGITAL MEDIA INDUSTRY AND ACADEMIC FORUM (DMIAF), 2016, : 113 - 116