IDEAS home Printed from https://ideas.repec.org/a/pkp/jofint/v3y2019i1p1-11id2502.html
   My bibliography  Save this article

A Framework for Digital Forensic in Joint Heterogeneous Cloud Computing Environment

Author

Listed:
  • Zayyanu Umar
  • Etuh Emmanuel

Abstract

The cloud computing is nowadays an embracing computing technology by many organizations, academic institutions and business centers. Resources availability, resources capacity, security are among the factors that subscriber consider while rating Cloud Service Providers when subscribing. Cloud Service Providers (CSPs) are limited in some resources, lacking some resources requested by their customers, this gave rise to the need for interconnecting multiple clouds to interoperate and share resources. The interconnected clouds can be in different features and schemes and the system can be prone to insecurity or intrusion. The architectural modeling system was used in developing framework. In this paper, a Digital Forensic Framework that can detect intrusion within heterogeneous joint clouds was developed with the architectural model and algorithm that can handle the joint clouds heterogeneity and complexity during inter-clouds resources management. This study originates a new framework and an algorithm that enable detecting crime and locating a scene of a crime for digital investigation (digital forensic) in a joined different configured cloud service providers (CSPs) platforms.

Suggested Citation

  • Zayyanu Umar & Etuh Emmanuel, 2019. "A Framework for Digital Forensic in Joint Heterogeneous Cloud Computing Environment," Journal of Future Internet, Conscientia Beam, vol. 3(1), pages 1-11.
  • Handle: RePEc:pkp:jofint:v:3:y:2019:i:1:p:1-11:id:2502
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/102/article/view/2502/3853
    Download Restriction: no

    File URL: https://archive.conscientiabeam.com/index.php/102/article/view/2502/4803
    Download Restriction: no
    ---><---

    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:pkp:jofint:v:3:y:2019:i:1:p:1-11:id:2502. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://archive.conscientiabeam.com/index.php/102/ .

    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: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/102/ .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.