scholarly journals Survey on Some Optimization Possibilities for Data Plane Applications

2021 ◽  
Author(s):  
Gereltsetseg Altangerel
Keyword(s):  
Programming Languages ◽  
Software Defined Network ◽  
Network Programming ◽  
Control Plane ◽  
Great Flexibility ◽  
Network Concept ◽  
Data Plane ◽  
High Level ◽  
Program Data

By programming both the data plane and the control plane, network operators can customize their networks based on their needs, regardless of the hardware manufacturer. Control plane programming, a major component of the SDN (Software Defined Network) concept, has been developed for more than 10 years and successfully implemented in real networks. Efforts to develop reconfigurable data planes and high-level network programming languages make it truly possible to program data planes. Therefore, the programmable data planes and SDNs offer great flexibility in network customization, allowing many innovations to be introduced on the network. The general focus of research on the data plane is data-plane abstractions, languages and compilers, data plane algorithms, and applications. This paper outlines some emerging applications on the data plane and offers opportunities for further improvement and optimization.

IMPLEMENTASI DAN ANALISIS EFEKTIVITAS FIREWALL PADA SOFTWARE DEFINED NETWORK BERBASIS OPENFLOW

2018 ◽  
Vol 4 (2) ◽  
pp. 46-57
Author(s):  
Fathul Muiin ◽  
Henry Saptono
Keyword(s):  
Software Defined Network ◽  
Control Plane ◽  
Flow Table ◽  
Data Plane

Penggunaan akses internet di dunia semakin berkembang, dan selaras dengan perkembangan teknologi jaringan komputer yang semakin kompleks. Oleh karena itu, keamanan data pada sebuah komputer menjadi salah satu bagian yang sangat penting dalam sebuah jaringan. Dan SDN merupakan sebuah solusi untuk menyediakan kebutuhan jaringan komputer saat ini. Software Defined Network (SDN) merupakan pendekatan pada teknologi jaringan yang melakukan penyederhanaan terhadap kontrol dan manajemen jaringan. Pada jaringan ini nantinya akan menggunakan protokol openflow, yang prinsip utamanya memisahkan fungsi control plane dan data plane pada perangkat. Kontrol jaringan pada sebuah controller bersifat programmable, jadi dengan adanya SDN maka jaringan akan mudah diatur dan lebih fleksibel. Implementasi dan analisis firewall ini menggunakan emulator mininet untuk membuat topologi jaringan yang sederhana. Dalam pengujian firewall menggunakan bahasa XML untuk implementasi aliran data, lalu menggunakan aplikasi postman sebagai alat untuk menambahkan flow table baru pada switch, dan controller yang digunakan adalah opendaylight.

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.

scholarly journals Cloud Based Data Protection in Anonymously Controlled SDN

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Jian Shen ◽  
Jun Shen ◽  
Chin-Feng Lai ◽  
Qi Liu ◽  
Tianqi Zhou
Keyword(s):  
Data Protection ◽  
The Other ◽  
Software Defined Network ◽  
Storage Space ◽  
Control Plane ◽  
Conventional Model ◽  
Novel Structure ◽  
Data Plane ◽  
Single Controller ◽  
The One

Nowadays, Software Defined Network (SDN) develops rapidly for its novel structure which separates the control plane and the data plane of network devices. Many researchers devoted themselves to the study of such a special network. However, some limitations restrict the development of SDN. On the one hand, the single controller in the conventional model bears all threats, and the corruption of it will result in network paralysis. On the other hand, the data will be increasing more in SDN switches in the data plane, while the storage space of these switches is limited. In order to solve the mentioned issues, we propose two corresponding protocols in this paper. Specifically, one is an anonymous protocol in the control plane, and the other is a verifiable outsourcing protocol in the data plane. The evaluation indicates that our protocol is correct, secure, and efficient.

scholarly journals Simulasi Virtual Local Area Network (VLAN) Berbasis Software Defined Network (SDN) Menggunakan POX Controller

2015 ◽  
Vol 7 (2) ◽  
pp. 129
Author(s):  
Rohmat Tulloh ◽  
Ridha Muldina Negara ◽  
Arif Nur Hidayat
Keyword(s):  
Local Area Network ◽  
Local Area ◽  
Area Network ◽  
Software Defined Network ◽  
Control Plane ◽  
Trip Time ◽  
Background Traffic ◽  
Data Plane ◽  
Pox Controller ◽  
Set Up

VLAN (Virtual LAN) merupakan sebuah teknologi yang dapat mengkonfigurasi jaringan logis independen dari struktur jaringan fisik. Hasil dari penelitian sebelumnya sudah diprediksi bahwa dibutuhkan Virtual Network yang akhirnya terciptalah VLAN. Namun paradigma jaringan saat ini tidak flexible, ketergantungan terhadap vendor sangat besar karena fungsi data plane dan control plane berada dalam satu paket device. SDN (Software defined network) yang merupakan salahsatu evolusi teknologi jaringan sesuai dengan tuntutan yang berkembang dimana memisahkan fungsi data plane dan control plane pada suatu perangkat. POX Controller digunakan untuk men-simulasikan dan menguji Platform SDN (Software defined network). Pada penelitian ini menggunakan Openflow versi 1.0 untuk memasang header VLAN sehingga penelitian ini difokuskan untuk mengevaluasi performa forwarding VLAN yang memanfaatkan Openflow sebagai control plane dapat berfungsi dengan baik. Hasil penelitian ini mengusulkan penerapan karakteristik teknologi VLAN pada SDN karena telah berjalan dengan benar sesuai hasil pengujian konektifitas, verifikasi dan keamanan. Kemudian hasil pengujian lanjutan untuk melihat pengaruh SDN dengan skenario penambahan jumlah VLAN ID didapatkan bahwa set-up time akan bertambah seiring meningkatnya jumlah host dan dengan menggunakan protokol OpenFlow, latency yang terjadi di jaringan dapat dipantau dengan parameter round trip time (RTT) yang stabil direntang 0,2 sampai 6 second walaupun jumlah vlan_id dan background traffic bertambah.

scholarly journals Proposed approach to detect distributed denial of service attacks in software defined network using machine learning algorithms

2018 ◽  
Vol 7 (2.8) ◽  
pp. 472 ◽  
Author(s):  
Shruti Banerjee ◽  
Partha Sarathi Chakraborty ◽  
. .
Keyword(s):  
Machine Learning ◽  
Denial Of Service ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Paper Machine ◽  
Software Defined Network ◽  
Distributed Denial Of Service ◽  
Control Plane ◽  
Data Plane ◽  
And Control

SDN (Software Defined Network) is rapidly gaining importance of ‘programmable network’ infrastructure. The SDN architecture separates the Data plane (forwarding devices) and Control plane (controller of the SDN). This makes it easy to deploy new versions to the infrastructure and provides straightforward network virtualization. Distributed Denial-of-Service attack is a major cyber security threat to the SDN. It is equally vulnerable to both data plane and control plane. In this paper, machine learning algorithms such as Naïve Bayesian, KNN, K Means, K-Medoids, Linear Regression, use to classify the incoming traffic as usual or unusual. Above mentioned algorithms are measured using the two metrics: accuracy and detection rate. The best fit algorithm is applied to implement the signature IDS which forms the module 1 of the proposed IDS. Second Module uses open connections to state the exact node which is an attacker and to block that particular IP address by placing it in Access Control List (ACL), thus increasing the processing speed of SDN as a whole. 

scholarly journals The Deployment of Routing Protocols in Distributed Control Plane of SDN

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhou Jingjing ◽  
Cheng Di ◽  
Wang Weiming ◽  
Jin Rong ◽  
Wu Xiaochun
Keyword(s):  
Distributed Control ◽  
Closed System ◽  
Routing Protocols ◽  
Network Architecture ◽  
Software Defined Network ◽  
Control Plane ◽  
Data Plane ◽  
Simulation Results ◽  
Routing Control ◽  
Programmable Network

Software defined network (SDN) provides a programmable network through decoupling the data plane, control plane, and application plane from the original closed system, thus revolutionizing the existing network architecture to improve the performance and scalability. In this paper, we learned about the distributed characteristics of Kandoo architecture and, meanwhile, improved and optimized Kandoo’s two levels of controllers based on ideological inspiration of RCP (routing control platform). Finally, we analyzed the deployment strategies of BGP and OSPF protocol in a distributed control plane of SDN. The simulation results show that our deployment strategies are superior to the traditional routing strategies.

scholarly journals Design of underwater acoustic sensor communication systems based on software-defined networks in big data

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771967 ◽  
Author(s):  
Jianping Wang ◽  
Lijuan Ma ◽  
Wei Chen
Keyword(s):  
Big Data ◽  
Sensor Networks ◽  
High Performance ◽  
Acoustic Sensor ◽  
Software Defined Network ◽  
Control Plane ◽  
Underwater Acoustic Sensor Networks ◽  
Underwater Acoustic ◽  
Acoustic Sensor Networks ◽  
Data Plane

The application based on big data is an important development trend of underwater acoustic sensor networks. However, traditional underwater acoustic sensor networks rely on the hardware infrastructure. The flexibility and scalability cannot be satisfied greatly. Due to the low performance of underwater acoustic sensor networks, it creates significant barriers to the implementation of big data. Software-defined network is regarded as a new infrastructure of next-generation network. It offers a novel solution for designing underwater acoustic sensor networks of high performance. In this article, a software-defined network–based solution is proposed to build the architecture of underwater acoustic sensor networks in big data. The design procedures of the data plane and control plane are described in detail. In the data plane, the works include the hardware design of OpenFlow-based virtual switch and the design of the physical layer based on software-defined radio. The hierarchical clustering technology and the node addressing techniques for designing media access control layer are well introduced. In the control plane, exploiting the hardware of the controller and designing the core module of controllers are presented as well. Through the study, it is supposed to maximize the capacity of underwater acoustic sensor networks, reduce the management complexity, and provide critical technical support for the high-performance underwater acoustic sensor networks.

scholarly journals A Review on Software-Defined Networking Distributed Controllers

2020 ◽  
Vol 9 (2) ◽  
pp. 24953-24961
Author(s):  
Worku Muluye
Keyword(s):  
Network Architecture ◽  
Computer Network ◽  
Software Defined Networking ◽  
Critical Issue ◽  
Software Defined Network ◽  
Control Plane ◽  
Second Best ◽  
Distributed Controller ◽  
Data Plane ◽  
Distributed Controllers

A computer network is a critical issue in our day to day activity; however, today it works under various problems. Since in the current network architecture the control plane and data plane are vertically bundled on the same device. To solve this problem programmable Software-Defined Network is released. OpenFlow is a protocol that vertically separates control plane and data plane of the network devices. In SDN the controllers are the brains of the network that controls the network devices. Today’s network required successful integration of distributed controllers to make the network more consistent. SDN distributed controller is a controller that we can add or remove the controllers according to the number of devices change. Distributed controller architecture has investigated and compared the 6 recent distributed controllers by using 26 criteria. Orion is the first best controller and ONOS is the second best controller.

scholarly journals Dampak Serangan DDoS pada Software Based Openfow Switch di Perangkat HG553

2018 ◽  
Vol 6 (2) ◽  
pp. 72
Author(s):  
Alimuddin Yasin ◽  
Ismail Mohidin
Keyword(s):  
Software Defined Network ◽  
Control Plane ◽  
Data Plane

Software Defined Network (SDN) adalah salah satu evolusi terbesar dalam dunia jaringan komputer. Dengan adanya SDN kemudahan dalam mengontrol jaringan lebih mudah dibandingkan dengan jaringan komputer biasa. Dimana dengan SDN konfigurasi jaringan lebih terpusat dikarenakan adanya pemisahan antara data plane dengan control plane. Data Plane berada pada sisi perangkat switch sedangkan control plane berada pada sisi server. Ada dua jenis switch Openflow yakni software based Switch Opeflow dan Hardware Based Switch Opeflow. Dalam penelitian ini jenis switch yang di pakai adalah Software Based Openflow Switch yang di pasang pada perangkkat HG553. Isu keamanan adalah isu yang masih terbuka luas untuk diteliti dalam Software Defined Network. Salah satunya adalah DDoS. DDoS adalah kegiatan untuk membanjiri jaringan dengan Data sehingga lalulintas jaringan menjadi penuh dan jaringan tidak dapat diakses oleh orang yang tidak berhak. Jenis DDoS UDP Flooding adalah jenis DDoS Conectionless. Dalam penelitian menunjukan DDoS UDP Flooding yang terjadi dalam jaringan SDN menyebabkan jaringan SDN sulit untuk di akses dikarenakan Switch Opeflow terlepas dari kontroller dan menyebabkan penggunaan reource tinggi pada Switch Openflow.

scholarly journals Performance Evaluation of Pox Controller for Software Defined Networks

2019 ◽  
Vol 8 (9S2) ◽  
pp. 679-684
Keyword(s):  
Performance Metrics ◽  
Network Control ◽  
Network Services ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Control Plane ◽  
Data Plane ◽  
Pox Controller ◽  
New Challenges ◽  
And Control

In traditional network the coupling of data plane and control plane makes the data forwarding, processing and managing of the network hard and complex. Here each switch takes its own decision, makes the network logically decentralized. To overcome the limitations in traditional network the Engineers developed a new model network known as Software Defined Network (SDN). This network the control plane is decoupled from the data plane making it less complex. It moreover has a logically centralized approach unlike the existing network. This separation enables the network control to be directly programmable and the architecture to be abstracted for applications and network services. SDN platform provides advantages like programmability, task virtualization and easy management of the network. However, it faces new challenges towards scalability and performances. It is a must to understand and analyze the performances of SDN for implementation and deployment in live network environments. SDN working with POX is studied. This paper analyses the working of POX controller and evaluates the performance metrics of POX controller for SDN environment. The emulation is done using the Emulation software

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