Závěrečná práce: Milan Patnaik: Secure Proactive Model Predictive Control Based MAC Protocol for Cognitive Radio Networks
Diplomová práce
Získaná ocenění:
Cena děkana FI za vynikající závěrečnou práci
Secure Proactive Model Predictive Control Based MAC Protocol for Cognitive Radio Networks
Milan Patnaik
Abstract
Cognitive Radio (CR) is a recent network paradigm that allows Secondary Users (SUs), such as, wireless devices, to intelligently access unlicensed radio spectrum that are not allocated to them. The SUs carry out transmission without interfering with the transmission of licensed users/Primary Users (PUs) who are allocated certain dedicated portions of the radio spectrum. With the proliferation of CRs …více
Zadání práce
This work will extend the Proactive Model Predictive Control (MPC) based MAC protocol for Cognitive Radio (CR) Network (ProMAC), which has shown better performance in respect to Backoff Rate, Channel Utilization and End-to-End Delay [1].
The theoretical part of the work will describe various Denial of Service (DoS) attacks on a CR network and describe a MPC system and its use for channel allocation in a CR network.
The practical part of the work will demonstrate the effect of Primary User Emulation (PUE) and Spectrum Sensing Data Falsification (SSDF) attacks [2] on ProMAC.
The student will then propose a CR model, which when used in the control calculations of ProMAC, will inherently (without an additional detection mechanism) provide immunity to PUE and SSDF attacks. The student will also design a framework to implement ProMAC with the proposed model to form S-ProMAC, and compare its performance with ProMAC and POMAC [3] – the work will compare S-ProMAC re. its Backoff Rate, Channel Utilization and Sensing Delay with ProMAC and POMAC.
The theoretical part of the work will describe various Denial of Service (DoS) attacks on a CR network and describe a MPC system and its use for channel allocation in a CR network.
The practical part of the work will demonstrate the effect of Primary User Emulation (PUE) and Spectrum Sensing Data Falsification (SSDF) attacks [2] on ProMAC.
The student will then propose a CR model, which when used in the control calculations of ProMAC, will inherently (without an additional detection mechanism) provide immunity to PUE and SSDF attacks. The student will also design a framework to implement ProMAC with the proposed model to form S-ProMAC, and compare its performance with ProMAC and POMAC [3] – the work will compare S-ProMAC re. its Backoff Rate, Channel Utilization and Sensing Delay with ProMAC and POMAC.
Práce zkontrolována:
15. 12. 2017 07:38, prof. RNDr. Václav Matyáš, M.Sc., Ph.D., učo 344
15. 12. 2017 07:38, prof. RNDr. Václav Matyáš, M.Sc., Ph.D., učo 344
- Zadáno/změněno 5. 2. 2018 15:48, Helena Kryštofová
- Záznam založen 21. 11. 2017 13:47, Jana Zemanová, učo 9619
- Zveřejnit od 14. 12. 2017 10:03, Helena Kryštofová
- Práce převzata 14. 12. 2017 10:03, Helena Kryštofová
Jazyk práce
Termín obhajoby
1. 2. 2018
Práce byla úspěšně obhájena
Konzultant
prof. Dr. Veezhinathan Kamakoti, M.Sc., Ph.D.
Indian Institute of Technology Madras
Indian Institute of Technology Madras
Citace dle normy ČSN ISO 690
PATNAIK, Milan. Secure Proactive Model Predictive Control Based MAC Protocol for Cognitive Radio Networks. Online. Diplomová práce. Brno: Masarykova univerzita, Fakulta informatiky. 2018. Dostupné z: https://is.muni.cz/th/xikck/.
Studijní program
Informatika
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Název
Vložil
Vloženo
Práva
Složky
Soubory
Dvořáková, A.
23. 2. 2018
20. 1. 2018




