Trading Privacy in the Cloud: A Fairer Way to Share Private Information

被引:1
|
作者
Patsakis, Constantinos [1 ]
Solanas, Agusti [1 ]
机构
[1] Trinity Coll Dublin, Sch Comp Sci & Stat, Dublin, Ireland
关键词
e-Commerce Privacy; Fair business models; Privacy trading and social development; PROXY RE-ENCRYPTION;
D O I
10.1109/ICEBE.2013.63
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Millions of people use cloud services for remote storage, events management etc. By using these services, users share and synchronise their information amongst multiple devices seamlessly. Nevertheless, the freemium model that most of them follow, endangers and in many cases invades the privacy of the users. With the aim to avoid privacy issues, which limit social progress, in this article we propose a new privacy-aware protocol and architecture allowing a new and fairer business model based on the concept of Privacy as a Product (PaaP). Our proposal is based on well-known cryptography such as re-encryption, Bloom filters and the Raykova-Vo-Bellowin-Malkin scheme. With our proposal, users gain full control over their privacy and they can allow advertising companies to mine their information. Cloud service providers act as brokers and get revenues from each transaction. Thus, ours is a win-win model overcoming the limitations derived from the privacy invasion of current models.
引用
收藏
页码:413 / 418
页数:6
相关论文
共 50 条
  • [1] INFORMATION PRIVACY IN THE CLOUD
    Schwartz, Paul M.
    UNIVERSITY OF PENNSYLVANIA LAW REVIEW, 2013, 161 (06) : 1623 - 1662
  • [3] DECENTRALIZED TRADING WITH PRIVATE INFORMATION
    Golosov, Mikhail
    Lorenzoni, Guido
    Tsyvinski, Aleh
    ECONOMETRICA, 2014, 82 (03) : 1055 - 1091
  • [4] Trading with privacy: the price of personal information
    Steinfeld, Nili
    ONLINE INFORMATION REVIEW, 2015, 39 (07) : 923 - 938
  • [5] Seek, share, or withhold: information trading in MMORPGs
    Harviainen, J. Tuomas
    Hamari, Juho
    JOURNAL OF DOCUMENTATION, 2015, 71 (06) : 1119 - 1134
  • [6] Share Conversion and Private Information Retrieval
    Beimel, Amos
    Ishai, Yuval
    Kushilevitz, Eyal
    Orlov, Ilan
    2012 IEEE 27TH ANNUAL CONFERENCE ON COMPUTATIONAL COMPLEXITY (CCC), 2012, : 258 - 268
  • [7] On Share Conversions for Private Information Retrieval
    Paskin-Cherniaysky, Anat
    Schmerler, Leora
    ENTROPY, 2019, 21 (09)
  • [8] Forward Commodity Trading with Private Information
    Anderson, Edward J.
    Philpott, Andrew B.
    OPERATIONS RESEARCH, 2019, 67 (01) : 58 - 71
  • [9] Are trading imbalances indicative of private information?
    Kim, Sukwon Thomas
    Stoll, Hans R.
    JOURNAL OF FINANCIAL MARKETS, 2014, 20 : 151 - 174
  • [10] INSIDER TRADING AS A SIGNAL OF PRIVATE INFORMATION
    DAMODARAN, A
    LIU, CH
    REVIEW OF FINANCIAL STUDIES, 1993, 6 (01): : 79 - 119