Open Access iconOpen Access

ARTICLE

crossmark

Resource Exhaustion Attack Detection Scheme for WLAN Using Artificial Neural Network

Abdallah Elhigazi Abdallah1, Mosab Hamdan2, Shukor Abd Razak3, Fuad A. Ghalib3, Muzaffar Hamzah2,*, Suleman Khan4, Siddiq Ahmed Babikir Ali5, Mutaz H. H. Khairi1, Sayeed Salih6

1 Faculty of Engineering, Future University, Khartoum 10553, Sudan
2 Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, 88400, Malaysia
3 Information Assurance and Security Research, School of Computing, Universiti Teknologi Malaysia, Johor, 81310, Malaysia
4 School of Psychology and Computer Science, University of Central Lancashire, Preston PR1 2HE, UK
5 Deaptement of Management Information Systems, College of Administrative Science, Applied Science University, Al Eker, 623, Bahrain
6 Deaptement of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, 11461, Saudi Arabia

* Corresponding Author: Muzaffar Hamzah. Email: email

TSP_CMC_31047.pdf

  • 833

    View

  • 533

    Download

  • 0

    Like

Share Link