Comparative Analysis of Traditional Virtual-LAN with Hybrid Software Defined Networking Enabled Network

Chaturvedi, Srishti Priya; Baggan, Vidhu; Kumar, Pawan

doi:10.1109/cicn49253.2020.9242631

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…Recently, a large number of research works have been published focused on performing comparative analyses on SDNs and conventional networks. These works evaluate several aspects such as routing protocols [ 16 , 17 ], control plane security [ 33 ], and delay [ 34 , 35 ], among others. Regarding PVLANs, a comparison between an SDN-based model and a conventional network is presented in [ 36 ], where the deployment of VLAN and PVLAN filtering and segmentation using both approaches is analysed.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Software-Defined Networks to Mitigate Private VLAN Attacks

Álvarez

Nuño

González

et al. 2023

Sensors

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The defence-in-depth (DiD) methodology is a defensive approach usually performed by network administrators to implement secure networks by layering and segmenting them. Typically, segmentation is implemented in the second layer using the standard virtual local area networks (VLANs) or private virtual local area networks (PVLANs). Although defence in depth is usually manageable in small networks, it is not easily scalable to larger environments. Software-defined networks (SDNs) are emerging technologies that can be very helpful when performing network segmentation in such environments. In this work, a corporate networking scenario using PVLANs is emulated in order to carry out a comparative performance analysis on defensive strategies regarding CPU and memory usage, communications delay, packet loss, and power consumption. To do so, a well-known PVLAN attack is executed using simulated attackers located within the corporate network. Then, two mitigation strategies are analysed and compared using the traditional approach involving access control lists (ACLs) and SDNs. The results show the operation of the two mitigation strategies under different network scenarios and demonstrate the better performance of the SDN approach in oversubscribed network designs.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of Software-Defined Networks to Mitigate Private VLAN Attacks

Álvarez

Nuño

González

et al. 2023

Sensors

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“…So, network management is simplified by these types of networks. One of the major factors influencing this evolution is the introduction of the concept of decoupling between the forwarding plane and the control plane to achieve abstraction of lower-level functionality (Chaturvedi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Performance-aware Optimal Controller Placements Via Genetic Algorithms for Software Defined Networking

Nuguse,

Gemeda,

Ramulu

et al. 2024

Preprint

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Software-defined Network is a new paradigm of providing the efficient network management using the concept of control and data place separation. Multi-controllers designing is a promising way to achieve reliability and scalability. However, it brings the new problem of controller placement in a distributed architecture. For this, two recent approaches of controller placement (CP) are based on controller placement simulated annealing (CPSA) and controller placement particle swarm optimization (CPPSO). However, these approaches are still not effective in placement of controllers. Thus, there is performance degrading of the systems. To solve these problems, the controller placement based on a Genetic Algorithm (CPGA) has been proposed in this research. The proposed CPGA has used the fitness value of each node to locate the controllers at their optimal place. Also, the GA operations continues until it gets the optimal placement of controllers and after locating the controller at their appropriate place, it was used for a long time in the case of near optimal rather than the existing approaches. The performance comparison has been done based on parameters such as throughput and delay. It is observed with comparison of CPSA and CPPSO that the proposed CPGA outperforms on given parameters. The proposed CPGA shows efficiency in placing controllers at their optimal locations.

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The Novel use of AI and ML System Integration in Developing Spruce Metropolis

Singh,

Maheswari,

Sridevi

et al. 2024

2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

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Comparative Analysis of Traditional Virtual-LAN with Hybrid Software Defined Networking Enabled Network

Cited by 5 publications

References 16 publications

Performance Analysis of Software-Defined Networks to Mitigate Private VLAN Attacks

Performance Analysis of Software-Defined Networks to Mitigate Private VLAN Attacks

Performance-aware Optimal Controller Placements Via Genetic Algorithms for Software Defined Networking

The Novel use of AI and ML System Integration in Developing Spruce Metropolis

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