A trust management framework for Software Defined Network (SDN) controller and network applications

2020 ◽  
Vol 181 ◽  
pp. 107421
Author(s):  
Aliyu Lawal Aliyu ◽  
Adel Aneiba ◽  
Mohammad Patwary ◽  
Peter Bull
Keyword(s):  
Trust Management ◽  
Software Defined Network ◽  
Management Framework ◽  
Network Applications ◽  
Sdn Controller

scholarly journals Application-Based Online Traffic Classification with Deep Learning Models on SDN Networks

2020 ◽  
Author(s):  
Lin-Huang Chang ◽  
Tsung-Han Lee ◽  
Hung-Chi Chu ◽  
Cheng-Wei Su
Keyword(s):  
Deep Learning ◽  
Traffic Classification ◽  
Software Defined Network ◽  
Learning Models ◽  
Learning Mechanisms ◽  
Network Applications ◽  
Performance Analyses ◽  
Online Traffic ◽  
Deep Learning Model ◽  
Sdn Controller

The traffic classification based on the network applications is one important issue for network management. In this paper, we propose an application-based online and offline traffic classification, based on deep learning mechanisms, over software-defined network (SDN) testbed. The designed deep learning model, resigned in the SDN controller, consists of multilayer perceptron (MLP), convolutional neural network (CNN), and Stacked Auto-Encoder (SAE), in the SDN testbed. We employ an open network traffic dataset with seven most popular applications as the deep learning training and testing datasets. By using the TCPreplay tool, the dataset traffic samples are re-produced and analyzed in our SDN testbed to emulate the online traffic service. The performance analyses, in terms of accuracy, precision, recall, and F1 indicators, are conducted and compared with three deep learning models.

scholarly journals High Availability Performance on OpenDayLight SDN Controller Platform (OSCP) Clustering and OpenDayLight with Heartbeat-Distributed Replicated Block Device (DRBD)

2018 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Andre Rizki Dewo Nugraha ◽  
Ridha Muldina Negara ◽  
Danu Dwi Sanjoyo
Keyword(s):  
High Availability ◽  
Software Defined Network ◽  
Network Development ◽  
Clustering Method ◽  
Master Controller ◽  
Qos Parameters ◽  
Connected Cluster ◽  
Sdn Controller ◽  
Centralized Controller

In this day people are asking for a reliable network when technology at its limit. Software-Defined Network (SDN) is an answer to that problem of network development where all the control over the network becomes centralized. However, all services controlled by a centralized controller have a big disadvantage if the controller dies. The High Availability (HA) is the solution. HA controller is divided into master and slave, when master controller is down then slave controller will respond to replace the function of master controller. In this research the system will be made by using two methods namely OpenDayLight SDN Controller Platform (OSCP) clustering and Heartbeat-DRBD (Distributed Replicated Block Device). OSCP clustering is a feature on OpenDayLight controller that is ready to be used and only need to be configured, with OSCP the main and backup controller clustering will be on connected cluster. Heartbeat-DRBD is an application commonly used to create High Availability systems on a server, but in this study will be used for the controller, Heartbeat will monitoring the main controller and if indicated to be down will move the resources to the backup controller with the DRBD application. From the simulation result shows that OSCP Clustering Failover and Failback average Time is 17 seconds while Heartbeat-DRBD is 23-45 seconds depends on how many switch and host are.While QoS parameters on both method have simillar value.it can be concluded that the High Availability system with OSCP Clustering method is more stable and good rather than Heartbeat-DRBD method to apply in a network.

scholarly journals Towards a Blockchain-based Identity and Trust Management Framework for the IoV Ecosystem

2020 ◽  
Author(s):  
Anastasia Theodouli ◽  
Konstantinos Moschou ◽  
Konstantinos Votis ◽  
Dimitrios Tzovaras ◽  
Jan Lauinger ◽  
...  
Keyword(s):  
Trust Management ◽  
Management Framework

ROUTING IMPLEMENTATION BASED-ON SOFTWARE DEFINED NETWORK USING RYU CONTROLLER AND OPENVSWITCH

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Yuli Sun Hariyani ◽  
Indrarini Dyah Irawati ◽  
Danu Dwi S. ◽  
Mohammad Nuruzzamanirridha
Keyword(s):  
Control Function ◽  
Raspberry Pi ◽  
Small Scale ◽  
Software Defined Network ◽  
Standard Protocol ◽  
Open Flow ◽  
Control Functions ◽  
Forward Function ◽  
And Control ◽  
Sdn Controller

Open Flow is a standard protocol for differentiating forward function and control functions to facilitate the management of big network of SDN. The research have been carried out before using the emulator SDN Mininet. However Mininet has many shortcomings, such as the performance of which is less than the maximum due to simulation. Then some researchers also use the Net-FPGA as device. This device is less suitable for small scale because the prices are quite expensive and programming is quite complicated. In this study, SDN implementation carried out using OpenvSwitch as forwarding function mounted on TP-Link that has modificated using openwrt as firmware and Raspberry Pi with Ryu SDN Controller as control functions. The result shows that routing static can be implemented on SDN Network which use Raspberry Pi with Ryu Controller as control function with average bandwith 536.0909 Mbits/sec and average uptime network is 10.45 second.

scholarly journals Mitigation of DDoS attack instigated by compromised switches on SDN controller by analyzing the flow rule request traffic

2018 ◽  
Vol 7 (2.6) ◽  
pp. 46 ◽  
Author(s):  
Sanjeetha R ◽  
Shikhar Srivastava ◽  
Rishab Pokharna ◽  
Syed Shafiq ◽  
Dr Anita Kanavalli
Keyword(s):  
Network Architecture ◽  
Flow Rule ◽  
Software Defined Network ◽  
Ddos Attacks ◽  
Control Plane ◽  
Ddos Attack ◽  
Flow Table ◽  
Data Plane ◽  
Ddos Detection ◽  
Sdn Controller

Software Defined Network (SDN) is a new network architecture which separates the data plane from the control plane. The SDN controller implements the control plane and switches implement the data plane. Many papers discuss about DDoS attacks on primary servers present in SDN and how they can be mitigated with the help of controller. In our paper we show how DDoS attack can be instigated on the SDN controller by manipulating the flow table entries of switches, such that they send continuous requests to the controller and exhaust its resources. This is a new, but one of the possible way in which a DDoS attack can be performed on controller. We show the vulnerability of SDN for this kind of attack. We further propose a solution for mitigating it, by running a DDoS Detection module which uses variation of flow entry request traffic from all switches in the network to identify compromised switches and blocks them completely.

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