Performance analysis of software-defined network approach for wireless cognitive radio networks

Ci̇ci̇oğlu, Murtaza; Cicioglu, Seda; Çalhan, Ali

doi:10.1109/siu.2018.8404691

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…SDN is a new network approach that enables the management of network resources more flexible and solves many problems existing in traditional network architecture [15, 16]. CR is a new network technology that provides effective, efficient, and dynamic use of limited and inefficient spectrum [17].…”

Section: Sdn‐based Architecture For Crnsmentioning

confidence: 99%

SDN‐enabled Cognitive Radio Network Architecture

2020

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Section: Sdn‐based Architecture For Crnsmentioning

confidence: 99%

SDN‐enabled Cognitive Radio Network Architecture

2020

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“…The emulated devices that we were used in modeling the software defined wireless network are listed as follows: a) Emulated end stations. b) LINUX virtual machine, 16 We have used wireshark to monitor the wireless network traffic passing between the virtual hwsim0 interface and the virtual mobile stations in the Mininet-wifi network scenarios. To capture the traffic, we have enabled the hwsim0 virtual interface on an access point, and monitored the traffic passing through the interface.…”

Section: Mininet-wi-fi Software Defined Wirless Network Emulationmentioning

confidence: 99%

Performance analysis of emulated software defined wireless network

Assegie

2019

IJEECS

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<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="387"><p>Software defined wireless network is a networking architecture and an emerging networking principle that is based on software defined network. A software defined network is a fundamental networking concept which separates the networking devices used in communication network form the program that runs on the top of these devices. In this paper we will explore the modeling tools used for software defined wireless network in our literature survey and based on the survey we have used mininet-Wi-Fi for modeling software defined wireless network, which is the best and most widely used emulation tool for software defined wireless network. Lastly, we have evaluated the performance of TCP traffic bandwidth for different number of emulated end stations and access points.</p></td></tr></tbody></table>

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“…The programmable SDN controller allows for internal implementations of controller modules and applications to supply new functions and expand the controller's functionalities, providing a range of competing OpenFlow models with different performance and functionalities in the SDN environment, such as Floodlight, ONOS, and Opendaylight 12 . However, SDN networks experience severe challenges in security, scalability, and performance 13,14 …”

Section: Introductionmentioning

confidence: 99%

DMoiSDN: A defensive mechanism of object integrity for SDN

Alsalamh,

Al‐Mutairi,

Humayed

et al. 2023

Concurrency and Computation

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SummarySoftware‐defined network (SDN) technology is widely used for computer networks, especially in enterprise data centers and virtualized networking. However, SDN networks encounter severe challenges to security. One such challenge comes from third‐party applications that contain malicious logic and security vulnerabilities, resulting in controller integrity attacks. In this paper, we propose a defensive mechanism of object integrity for SDN (DMoiSDN) to mitigate the issue known as Cross‐App Poisoning (CAP). Our results contribute to increasing the integrity level of the controller's resources by conducting a potential risk analysis, which showed a decrease of 57% in the risk factor for potential attacks. We further examined the results of comparing DMoiSDN's performance with related work that uses information flow control (IFC) policies. The best results among the three conducted scenarios were as follows: we found that decreased latency in our system ranged from 12% to 90%, with an average of 59%, when encountering an increase in requests. It ranged from 78% to 49%, with an average of 63%, when receiving a variable number of total permissions for each application. DMoiSDN is expected to show a perceptible but reasonable latency and, to some extent, be able to avoid a critical impact on performance.

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Performance analysis of software-defined network approach for wireless cognitive radio networks

Cited by 6 publications

References 13 publications

SDN‐enabled Cognitive Radio Network Architecture

SDN‐enabled Cognitive Radio Network Architecture

Performance analysis of emulated software defined wireless network

DMoiSDN: A defensive mechanism of object integrity for SDN

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