IDEAS home Printed from https://ideas.repec.org/a/iem/imptrs/v8y2015id2822000009382171.html
   My bibliography  Save this article

Enhanced binary diff algorithm for secure and high performance cloud computing forensics infrastructures

Author

Listed:
  • Patrascu Alecsandru
  • Patriciu Victor Valeriu

Abstract

Binary diffs represent one of the most important and used methods when we need to synchronize the content of two binary files. It is also a vital component in the Cloud Computing security ecosystem as it permits efficient storage of results in case of a digital forensics investigation, but also for saving multiple versions of a monitored virtual machine. In this paper we propose a new solution in this direction, which applies with success in our implemented Cloud Forensics Framework, specially designed in order to prevent security breaches in a datacenter and also for conducting digital forensics actions in case of incidents. We will present the problems existing in a datacenter, the need for a new high performance binary diff algorithm specially tailored for our needs and we propose a new model created especially for these computing environments

Suggested Citation

  • Patrascu Alecsandru & Patriciu Victor Valeriu, 2015. "Enhanced binary diff algorithm for secure and high performance cloud computing forensics infrastructures," Impact of Socio-economic and Technological Transformations at National, European and International Level (ISETT), Institute for World Economy, Romanian Academy, vol. 8.
  • Handle: RePEc:iem:imptrs:v:8:y:2015:id:2822000009382171
    as

    Download full text from publisher

    File URL: http://nos.iem.ro/bitstream/handle/123456789/256/Patrascu%20A%20si%20Patriciu%20V.pdf?sequence=1&isAllowed=y
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    cloud computing; enhanced binary diff algorithm; high performance computing;
    All these keywords.

    JEL classification:

    • A30 - General Economics and Teaching - - Multisubject Collective Works - - - General

    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:iem:imptrs:v:8:y:2015:id:2822000009382171. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ionela Baltatescu (email available below). General contact details of provider: https://edirc.repec.org/data/imacaro.html .

    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.