Malicious User Attacks In Decentralised Cognitive Radio Networks - Key Results
figureposted on 01.10.2020 by Arun Sivakumaran
Figures are generally photos, graphs and static images that would be represented in traditional pdf publications.
The key results from the master's dissertation. A monte carlo simulation was performed over the maliciousness and proportion of agents introduced to a cognitive radio network. The spectrum sensing accuracy of the proposed algorithm was evaluated against a control, and was shown to be much more effective than the control in mitigating these attacks. The malicious user detection performance, algorithm learning speed, number of iterations to convergence, and effect of increasing trusted users on the network was also analysed.