BQSV: Protecting SDN Controller Cluster’s Network Topology View Based on Byzantine Quorum System with Verification Function

2019 ◽  
pp. 73-88
Author(s):  
Yifang Zhi ◽  
Li Yang ◽  
Shui Yu ◽  
Jianfeng Ma
Keyword(s):  
Network Topology ◽  
Quorum System ◽  
Sdn Controller

scholarly journals Development of Active External Network Topology Module for Floodlight SDN Controller

2016 ◽  
Vol 22 (6) ◽  
pp. 852-861
Author(s):  
A. A. Noskov ◽  
M. A. Nikitinskiy ◽  
I. V. Alekseev
Keyword(s):  
Network Topology ◽  
Sdn Controller

scholarly journals The Extended Dijkstra’s-based Load Balancing for OpenFlow Network

2015 ◽  
Vol 5 (2) ◽  
pp. 289
Author(s):  
Widhi Yahya ◽  
Achmad Basuki ◽  
Jehn Ruey Jiang
Keyword(s):  
Load Balancing ◽  
Response Time ◽  
Shortest Path ◽  
Network Topology ◽  
Software Defined Networking ◽  
Memory Usage ◽  
Shortest Path Algorithm ◽  
Load Balancing Algorithm ◽  
Computation Load ◽  
Sdn Controller

<span lang="EN-US">This paper proposes load-balancing algorithm on the basis of the Extended Dijkstra’s shortest path algorithm for Software Defined Networking (SDN). The Extended Dijkstra’s algorithm considers not only the edge weights, but also the node weights to find the nearest server for a requesting client. The proposed algorithm also considers the link load in order to avoid congestion. We use Pyretic to implement the proposed algorithm and compare it with related ones under the Abilene network topology with the Mininet emulation tool. As shown by the comparisons, the proposed algorithm outperforms the others in term of the network end-to-end latency, throughput and response time at the expense of a little heavier computation load and more memory usage on the SDN controller.</span>

scholarly journals Optimal software-defined network topology for distributed denial of service attack mitigation

2020 ◽  
Vol 9 (6) ◽  
pp. 2588-2594
Author(s):  
Branislav Mladenov ◽  
Georgi Iliev
Keyword(s):  
Network Topology ◽  
Network Architecture ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Optimal Network ◽  
Service Attack ◽  
Network Topologies ◽  
Sdn Controller

Distributed denial of service (DDoS) attacks are a major threat to all internet services. The main goal is to disrupt normal traffic and overwhelms the target. Software-defined networking (SDN) is a new type of network architecture where control and data plane are separated. A successful attack may block the SDN controller which may stop processing the new request and will lead to a total disruption of the whole network. The main goal of this paper is to find the optimal network topology and size which can handle Distributed denial of service attack without management channel bandwidth exhaustion or run out of SDN controller CPU and memory. Through simulations, it is shown that mesh topologies with more connections between switches are more resistant to DDoS attacks than liner type network topologies. 

scholarly journals Applying OSiRIS NMAL to Network Slices on SLATE

2020 ◽  
Vol 245 ◽  
pp. 07055
Author(s):  
Jeremy Musser ◽  
Ezra Kissel ◽  
Martin Swany ◽  
Joe Breen ◽  
Jason Stidd ◽  
...  
Keyword(s):  
Network Management ◽  
Network Topology ◽  
Information Service ◽  
Software Defined Networking ◽  
Topology Discovery ◽  
Network Information ◽  
Abstraction Layer ◽  
Science Domain ◽  
Sdn Controller ◽  
Network Orchestration

The Network Management Abstraction Layer (NMAL) extends perfSONAR capabilities to include automated network topology discovery and tracking in the Unified Network Information Service (UNIS), and incorporate Software Defined Networking (SDN) into overall operations of the OSiRIS distributed Ceph infrastructure. We deploy perfSONAR components both within OSiRIS and at our “client” locations to allow monitoring and measuring the networks interconnecting science domain users and OSiRIS components. Topology discovery (using an SDN controller application) and Flange Network Orchestration (NOS) rules are used to dynamically manage network pathing in our testbed environments. NMAL components have been containerized to operate within the Services Layer at the Edge (SLATE) infrastructure, and we describe our experiences in packaging and deploying our services.

Passive mode discovery of network topology

2014 ◽  
Author(s):  
Lisheng Huang ◽  
Mingyong Yin ◽  
Changchun Li ◽  
Xin Wang
Keyword(s):  
Network Topology ◽  
Passive Mode

TRANSITION TO CONVOLUTIONAL NEURAL NETWORKS IN RADAR PROBLEMS

2019 ◽  
pp. 96-99
Author(s):  
K. Maystrenko ◽  
A. Budilov ◽  
D. Afanasev
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Target Detection ◽  
Convolutional Neural Networks ◽  
Network Topology ◽  
Subject Areas ◽  
The Subject ◽  
Printed Materials ◽  
Hardware Costs

Goal. Identify trends and prospects for the development of radar in terms of the use of convolutional neural networks for target detection. Materials and methods. Analysis of relevant printed materials related to the subject areas of radar and convolutional neural networks. Results. The transition to convolutional neural networks in the field of radar is considered. A review of papers on the use of convolutional neural networks in pattern recognition problems, in particular, in the radar problem, is carried out. Hardware costs for the implementation of convolutional neural networks are analyzed. Conclusion. The conclusion is made about the need to create a methodology for selecting a network topology depending on the parameters of the radar task.

Comment on “DIO Suppression Attack Against Routing in the Internet of Things”

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga
Keyword(s):  
Internet Of Things ◽  
Network Topology ◽  
Impact Analysis ◽  
The Internet ◽  
Routing Performance ◽  
Routing Attack ◽  
The Internet Of Things ◽  
Specific Reason

<div>We have thoroughly studied the paper of Perazzo et al., which presents a routing attack named DIO suppression attack with its impact analysis. However, the considered simulation grid of size 20mx20m does not correspond to the results presented in their paper. We believe that the incorrect simulation detail needs to be rectified further for the scientific correctness of the results. In this comment, it is shown that the suppression attack on such small sized network topology does not have any major impact on routing performance, and specific reason is discussed for such behavior.</div>

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