IDEAS home Printed from https://ideas.repec.org/a/igg/jicthd/v10y2018i4p1-18.html
   My bibliography  Save this article

Security Threats for Big Data: An Empirical Study

Author

Listed:
  • Muhammad Nazrul Islam

    (Military Institute of Science and Technology (MIST), Bangladesh)

  • Tarannum Zaki

    (Military Institute of Science and Technology (MIST), Bangladesh)

  • Md. Sami Uddin

    (Military Institute of Science and Technology (MIST), Bangladesh)

  • Md. Mahedi Hasan

    (Military Institute of Science and Technology (MIST), Bangladesh)

Abstract

With the advancement of modern science and technology, data emerging from different fields are escalating gradually. Recently, with this huge amount of data, Big Data has become a source of immense opportunities for large scale organizations related to various business sectors as well as to information technology (IT) professionals. Hence, one of the biggest challenges of this context is the security of this big set of data in different ICT based organizations. The fundamental objective of this article is to explore how big data may create security challenges in email communication. As an outcome, this article first shows that big data analysis helps to understand the behavior or interest of email users, which in turn can help phishers to create the phishing sites or emails that result in IT security threat; second, the article finds that phishing e-mail generation based on the (email) users' behavior can break an organization's IT security; and finally, a framework was proposed that would help to enhance the security of email communication.

Suggested Citation

  • Muhammad Nazrul Islam & Tarannum Zaki & Md. Sami Uddin & Md. Mahedi Hasan, 2018. "Security Threats for Big Data: An Empirical Study," International Journal of Information Communication Technologies and Human Development (IJICTHD), IGI Global, vol. 10(4), pages 1-18, October.
  • Handle: RePEc:igg:jicthd:v:10:y:2018:i:4:p:1-18
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJICTHD.2018100101
    Download Restriction: no
    ---><---

    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:igg:jicthd:v:10:y:2018:i:4:p:1-18. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.