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.

/pdf/simulasi-virtual-local-area-network-vlan-berbasis-software-25scuxcw6f.pdf

Simulasi Virtual Local Area Network (Vlan) Berbasis Software Defined Network (Sdn) Menggunakan Pox Controller

Aviation telecommunications is one of the main means of providing guidance to civil aviation and air traffic control. Proper organization of communication is one of the main conditions for ensuring the safety and regularity of aircraft operations as well as the production activities of enterprises and civil aviation organizations. The new networks will focus on significantly improving the quality of service. The basis for their construction will form SDN networks. Therefore, the chapter analyzed the advantages and disadvantages of two SDN implementing methods. It was developed the mathematical method to assess their complex effectiveness, which considers QoS requirements of implementing service through special weights for scalability, performance, and packet delay. There were simulations of overlay networks by using soft switches to verify the adequacy of the proposed method. The results showed that the use of SDN networks more efficiently by using IP networks for large volumes of traffic and with a large amount of network equipment.

Software-Defined Networking in Aviation: Prospects, Effectiveness, Challenges

Software-defined networking in recent years has come into the sight of so many network designers as a successor to traditional networking. Unlike traditional networks where control and data planes engage together within a single device in the network infrastructure such as switches and routers, the two planes are kept separated in software-defined networks (SDNs). All critical decisions about packet routing are made by the network controller, and the data-level devices forward the packets based on these decisions. This type of network is vulnerable to DDoS attacks, degrading the overall functioning and performance of the network by continuously injecting fake flows into it. This increases the substantial burden on the controller side, and the result ultimately leads to the inaccessibility of the controller and the lack of network service to legitimate users. Thus, the protection of this novel network architecture against denial-of-service attacks is essential. Today, the world is on the verge of using computer network services and information systems at their peak. Thus, the security concerns attached to these services/systems shall be taken seriously and dealt with. In the world of cybersecurity, attacks, and new threats emerge every day. It is essential to have tools capable of managing and analyzing all this new information to detect possible attacks in real-time. These tools should provide a comprehensive solution to automatically detect, predict and prevent abnormalities in the network. This Ph.D. research introduces an intelligent big data framework as a solution to prevent the performance degradation on SDN network during DDoS attacks. By leveraging the programmability and centralized controller of the SDN and using distributed data processing techniques based on the big data analytic tools and machine learning algorithm, we aim to enhance the SDN network security and resilience against these sophisticated attacks. 

Scalable and Reliable Framework to Detect and Mitigate DDoS Attack in OpenFlow-based SDN Network

Software Defined Networking (SDN) makes Internet network configuration easier by separating the control plane and data plane. The control plane on the controller has information on network devices in the data plane and centrally control these devices. One of the controllers in SDN being developed is the Open Network Operating System (ONOS). ONOS provides interfaces such as Representational State Transfer (REST) Application Programming Interface (API). The ONOS core REST API provides some information from the network connected to it, such as devices, statistics, and the information in JSON file. The primary objective of this study is to develop an interface that simplifies performance monitoring through graphical representation. This involves testing the visualization with various topologies and conducting a comparative analysis of the visualization results across these topologies. The creation of the interface entails presenting statistical data, available in the form of a JSON file from the ONOS controller via the REST API, on the web interface in graphical format. The resulting visualization generates a graph that aligns with the performance characteristics of each topology, reflecting device details, ports, and additional parameters such as the count of sent and received packets, as well as sent and received bytes. The performance visualization outcomes specific to each topology are consistent with the number of connections and are prominently displayed on the web interface. Additionally, this research evaluates network throughput and bandwidth by sending ICMP packet and iperf tests across each topology. Among all the openflow tests performed on various network topologies, it was observed that the tree topology exhibited the lowest network capacity utilization, followed by the leaf-spine topology, and finally the ring topology.

Performance Visualization of Southbound Interface in Software Defined Networking

Software-Defined Networking (SDN)

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Simulasi Virtual Local Area Network (Vlan) Berbasis Software Defined Network (Sdn) Menggunakan Pox Controller

Software-Defined Networking in Aviation: Prospects, Effectiveness, Challenges

Scalable and Reliable Framework to Detect and Mitigate DDoS Attack in OpenFlow-based SDN Network

Performance Visualization of Southbound Interface in Software Defined Networking