IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v62y2016i1d10.1007_s11235-015-0071-0.html
   My bibliography  Save this article

Effective network security monitoring: from attribution to target-centric monitoring

Author

Listed:
  • Siraj Ahmed Shaikh

    (Coventry University)

  • Harsha Kumara Kalutarage

    (Coventry University)

Abstract

Network security monitoring remains a challenge. As global networks scale up, in terms of traffic, volume and speed, effective attribution of cyber attacks is increasingly difficult. The problem is compounded by a combination of other factors, including the architecture of the Internet, multi-stage attacks and increasing volumes of nonproductive traffic. This paper proposes to shift the focus of security monitoring from the source to the target. Simply put, resources devoted to detection and attribution should be redeployed to efficiently monitor for targeting and prevention of attacks. The effort of detection should aim to determine whether a node is under attack, and if so, effectively prevent the attack. This paper contributes by systematically reviewing the structural, operational and legal reasons underlying this argument, and presents empirical evidence to support a shift away from attribution to favour of a target-centric monitoring approach. A carefully deployed set of experiments are presented and a detailed analysis of the results is achieved.

Suggested Citation

  • Siraj Ahmed Shaikh & Harsha Kumara Kalutarage, 2016. "Effective network security monitoring: from attribution to target-centric monitoring," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 167-178, May.
  • Handle: RePEc:spr:telsys:v:62:y:2016:i:1:d:10.1007_s11235-015-0071-0
    DOI: 10.1007/s11235-015-0071-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-015-0071-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-015-0071-0?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Howard Chivers & John A. Clark & Philip Nobles & Siraj A. Shaikh & Hao Chen, 2013. "Knowing who to watch: Identifying attackers whose actions are hidden within false alarms and background noise," Information Systems Frontiers, Springer, vol. 15(1), pages 17-34, March.
    Full references (including those not matched with items on IDEAS)

    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. Carly L. Huth & David W. Chadwick & William R. Claycomb & Ilsun You, 2013. "Guest editorial: A brief overview of data leakage and insider threats," Information Systems Frontiers, Springer, vol. 15(1), pages 1-4, March.
    2. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    3. Shuyuan Mary Ho & Merrill Warkentin, 2017. "Leader’s dilemma game: An experimental design for cyber insider threat research," Information Systems Frontiers, Springer, vol. 19(2), pages 377-396, April.
    4. Shuyuan Mary Ho & Merrill Warkentin, 0. "Leader’s dilemma game: An experimental design for cyber insider threat research," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    5. Shaio Yan Huang & Chi-Chen Lin & An-An Chiu & David C. Yen, 2017. "Fraud detection using fraud triangle risk factors," Information Systems Frontiers, Springer, vol. 19(6), pages 1343-1356, December.
    6. Shaio Yan Huang & Chi-Chen Lin & An-An Chiu & David C. Yen, 0. "Fraud detection using fraud triangle risk factors," Information Systems Frontiers, Springer, vol. 0, pages 1-14.

    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:spr:telsys:v:62:y:2016:i:1:d:10.1007_s11235-015-0071-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.