Towards privacy-preserving reputation management for hybrid broadcast broadband applications

被引:5
|
作者
Dolera Tormo, Gines [2 ]
Marmol, Felix Gomez [1 ]
Martinez Perez, Gregorio [2 ]
机构
[1] NEC Europe Ltd, D-69115 Heidelberg, Germany
[2] Univ Murcia, Dept Informat & Commun Engn, E-30100 Murcia, Spain
关键词
HbbTV; Reputation management; Homomorphic encryption; Identity management; Privacy; TRUST; SYSTEMS; MODEL;
D O I
10.1016/j.cose.2014.10.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hybrid Broadcast Broadband TV (HbbTV) is an industry standard aimed to provide a platform combining TV services with Internet services, using connected TVs and set-top boxes. It enables the possibility for vendors to offer applications directly to the users, introducing new entertainment services such as streaming of video on demand, games, social networking, etc. As a consequence, tons of applications are available for users to directly download and consume through the so-called application stores, despite the potential trust and security issues arising due to the decentralized nature of these environments. Reputation management systems are usually deployed to handle trust in such dynamic scenarios, whereas they could also be used to evaluate and rate the applications from the users point of view, and even provide customized rankings. Nevertheless, they require the application stores to know information related to the installed applications and the provided recommendations of the users, hence compromising their privacy. In this paper we present a privacy-preserving reputation management framework to be integrated within the HbbTV context. We make use of identity management and extend homomorphic encryption techniques to avoid the application stores and other relying parties determining the recommendations provided by the users, yet being able to compute customized reputation values based on the similarity between users' recommendations. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:220 / 238
页数:19
相关论文
共 50 条
  • [1] Privacy-preserving Identity Broadcast for Contact Tracing Applications
    Dyo, Vladimir
    Ali, Jahangir
    [J]. 12TH WIRELESS DAYS CONFERENCE (WD 2021), 2020,
  • [2] Decentralized Privacy-Preserving Reputation Management for Mobile Crowdsensing
    Ma, Lichuan
    Pei, Qingqi
    Qu, Youyang
    Fan, Kefeng
    Lai, Xin
    [J]. SECURITY AND PRIVACY IN COMMUNICATION NETWORKS, SECURECOMM, PT I, 2019, 304 : 532 - 548
  • [3] A Trustless Privacy-Preserving Reputation System
    Schaub, Alexander
    Bazin, Remi
    Hasan, Omar
    Brunie, Lionel
    [J]. ICT SYSTEMS SECURITY AND PRIVACY PROTECTION, SEC 2016, 2016, 471 : 398 - 411
  • [4] A Privacy-preserving Proof-of-Reputation
    Dehez-Clementi, Marina
    Rabah, Mourad
    Ghamri-Doudane, Yacine
    [J]. 2023 IFIP NETWORKING CONFERENCE, IFIP NETWORKING, 2023,
  • [5] Privacy-Preserving Reputation Management for Edge Computing Enhanced Mobile Crowdsensing
    Ma, Lichuan
    Liu, Xuefeng
    Pei, Qingqi
    Xiang, Yong
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2019, 12 (05) : 786 - 799
  • [6] Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing
    Zhang, Wenjing
    Luo, Yuchuan
    Fu, Shaojing
    Xie, Tao
    [J]. 2020 17TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON), 2020,
  • [7] A Privacy-Preserving Reputation System for Participatory Sensing
    Huang, Kuan Lun
    Kanhere, Salil S.
    Hu, Wen
    [J]. 37TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2012), 2012, : 10 - 18
  • [8] A privacy-preserving reputation system with user rewards
    Busom, N.
    Petrlic, R.
    Sebe, F.
    Sorge, C.
    Valls, M.
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 80 : 58 - 66
  • [9] Dynamic, Privacy-Preserving Decentralized Reputation Systems
    Clark, Michael R.
    Stewart, Kyle
    Hopkinson, Kenneth M.
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2017, 16 (09) : 2506 - 2517
  • [10] A Blockchain-Based Privacy-Preserving Trust and Reputation Management for Internet of Vehicles
    Wang, Hongyu
    Yang, Haitao
    Zhong, Wei
    Deng, Linfang
    Tong, Fei
    [J]. BLOCKCHAIN TECHNOLOGY AND APPLICATION, CBCS 2023, 2024, 2098 : 198 - 222