IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v055i07.html
   My bibliography  Save this article

The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux

Author

Listed:
  • Ooms, Jeroen

Abstract

The increasing availability of cloud computing and scientific super computers brings great potential for making R accessible through public or shared resources. This allows us to efficiently run code requiring lots of cycles and memory, or embed R functionality into, e.g., systems and web services. However some important security concerns need to be addressed before this can be put in production. The prime use case in the design of R has always been a single statistician running R on the local machine through the interactive console. Therefore the execution environment of R is entirely unrestricted, which could result in malicious behavior or excessive use of hardware resources in a shared environment. Properly securing an R process turns out to be a complex problem. We describe various approaches and illustrate potential issues using some of our personal experiences in hosting public web services. Finally we introduce the RAppArmor package: a Linux based reference implementation for dynamic sandboxing in R on the level of the operating system.

Suggested Citation

  • Ooms, Jeroen, 2013. "The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i07).
    • Handle: RePEc:jss:jstsof:v:055:i07
    DOI: http://hdl.handle.net/10.18637/jss.v055.i07
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v055i07/v55i07.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v055i07/RAppArmor_1.0.0.tar.gz
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v055i07/v55i07.R
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v055.i07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dahl, David B. & Crawford, Scott, 2009. "RinRuby: Accessing the R Interpreter from Pure Ruby," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i04).
    2. Banfield, Jeff, 1999. "Rweb:Web-based Statistical Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 4(i01).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gergely Daróczi, 2014. "Creating statistical reports in the past, present and future," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 31-43, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kumar Saurabh Singh & Dominique Thual & Roberto Spurio & Nicola Cannata, 2015. "SaDA: From Sampling to Data Analysis—An Extensible Open Source Infrastructure for Rapid, Robust and Automated Management and Analysis of Modern Ecological High-Throughput Microarray Data," IJERPH, MDPI, vol. 12(6), pages 1-15, June.
    2. Thioulouse, Jean & Dray, Stéphane, 2007. "Interactive Multivariate Data Analysis in R with the ade4 and ade4TkGUI Packages," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i05).
    3. Mineo, Angelo & Pontillo, Alfredo, 2006. "Using R via PHP for Teaching Purposes: R-php," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i04).
    4. Moon, Hojin & Lee, J. Jack & Ahn, Hongshik & Nikolova, Rumiana G., 2002. "A Web-based Simulator for Sample Size and Power Estimation in Animal Carcinogenicity Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i13).
    5. Esty, Warren W. & Banfield, Jeff, 2003. "The Box-Percentile Plot," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i17).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:055:i07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.