• DocumentCode
    726867
  • Title

    Secure Entropy Gatherer

  • Author

    Mahu, Daniel ; Dumitrel, Vlad ; Pop, Florin

  • Author_Institution
    Comput. Sci. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2015
  • fDate
    27-29 May 2015
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    High quality entropy data is a very useful asset for a large variety of applications, including computer security, simulations, and gaming. Not only is it important for this type of data to be indistinguishable from true randomness, it must also be possible to generate it in an efficient and scalable manner. Although entropy for local use can be easily obtained from various hardware sources, it does not always suffice, either in terms of quantity or quality. In this paper we explore the benefits of obtaining entropy using a distributed system. The rate at which entropy data is produced can be improved by generating it in parallel on multiple sites. Additionally, because the bits of entropy come from multiple and possibly heterogeneous sources, the quality of the entropy can also be improved. We propose a centralized, distributed system that is able to generate entropy on multiple sites across the network, and aggregate the generated data locally. We show that the system is secure, and that it offers good performance and high quality entropy.
  • Keywords
    data handling; distributed processing; entropy; security of data; centralized distributed system; computer security; data aggregation; heterogeneous sources; high quality entropy data; secure entropy gatherer; Authentication; Cryptography; Entropy; Games; Peer-to-peer computing; Receivers; Servers; Data Gathering; Distributed Systems; Entropy; Heterogeneous Computing; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Systems and Computer Science (CSCS), 2015 20th International Conference on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4799-1779-2
  • Type

    conf

  • DOI
    10.1109/CSCS.2015.74
  • Filename
    7168427