Show simple item record

dc.contributor.advisor Mthulisi, V. Sibanda, Brian 2022-05-16T08:40:45Z 2022-05-16T08:40:45Z 2021
dc.description Thesis( M. A. (Computer Science)) -- University of Limpopo , 2021 en_US
dc.description.abstract In Software Defined Cognitive Radio Network (SDCRN), network security is a significant issue. This issue arises when Software Defined Network (SDN) architecture integrates with the Cognitive Radio Network (CRN) technology. SDN is designed to improve network resource management, while CRN technology is meant at improving spectrum management. These technologies are vulnerable to several malicious attacks. These attacks include Distributed Denial of Service (DDoS) and Primary User Emulation (PUE). Both the DDoS and PUE can be disrupt services in the SDCRN. To curb these attacks, schemes which hardens the security of SDCRN need to be designed. Thus, in this study we propose a security mechanism called Extreme_Controller_Mechanism (XCM) that reduce the effects of DDoS and PUE. The proposed XCM scheme was designed and evaluated in three simulation environment, the OMNeT++, Octave, and MATLAB simulators. The SDCRN data set was generated using the Neural Network back propagation algorithms. The data set was then used in Matlab to evaluate the effectiveness of the prosed XCM scheme. XCM proved to be effective and efficient at detection and prevention of DDoS and PUE attacks in SDCRN. In terms of memory and processor utilisation, XCM proved to the best when compared to other schemes such as the Advanced Support Vector Machine (ASVM) and deep learning convolution network (CDLN). But in terms of detection time, the ASVM was found to be the best performing scheme. Regarding our test for detection rate, false positive and false negative, the XCM, ASVM and CDLM performed the same. The results of the XCM were therefore the best and superior to the ASVM and CDLM. This can be attributed to the fact that the XCM scheme is optimised for DDoS and PUE attacks. We can therefore conclude that our XCM scheme is the best performing scheme compared to the ASVM and CDLN schemes. en_US
dc.format.extent ix, 106 leaves en_US
dc.language.iso en en_US
dc.relation.requires PDF en_US
dc.subject Software defined cognitive radio network en_US
dc.subject Distributed denial of service en_US
dc.subject Primary user emulation en_US
dc.subject.lcsh Software-defined networking (Computer network technology) en_US
dc.subject.lcsh Computer networks -- Security measures en_US
dc.title The design of an effective extreme controller mechanism scheme for software defined cognitive radio network en_US
dc.type Thesis en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ULSpace


My Account