Software-Defined Network ((SDN)) introduces centralized network control via the OpenFlow protocol, enhancing network management, traffic routing, and security policy enforcement. However, (SDN)'s centralized nature also introduces vulnerabilities, particularly to cyberattacks targeting the controller and communication channels. This study presents a resilience assessment methodology for (SDN) under cyberattack conditions, leveraging Markov process theory to model system states and transitions. Three (SDN) architectures were evaluated under various attack scenarios, revealing that traditional configurations lack sufficient resilience against synchronous attacks and controller breaches. To address these vulnerabilities, we propose an enhanced (SDN) protection framework integrating controller redundancy, automatic reconfiguration mechanisms, and anomaly detection using Long Short-Term Memory (LSTM) networks. The methodology was validated through simulations in the EVE-NG environment, demonstrating improved (SDN) stability under cyber threats. These findings provide a foundation for designing more resilient (SDN) infrastructures, ensuring network continuity and security against evolving cyber threats.

Software defined Networking ((SDN)) is an emerging Networking paradigm which gained a lot of interests from both academia and industry. (SDN) decomposes the control plane from the data plane and allows for the network logic to run on a software-based controller. This decomposition of network operations offers the simplification of network management and greater ease of configuration through network programmability. In this paper, we first comprehensively discuss the state-of-the-art experiences in this field and their existing challenges. We also categorize the challenges facing (SDN) and its integration with other technologies such as network function virtualization (NFV), internet of thing (IoT), 5G networks, big data, and optical networks. Then, considering the key issues, we revisit the (SDN) architecture and propose a comprehensive conceptual framework and some detailed architectural considerations for enhancing the capabilities of (SDN) networks. The proposed conceptual framework also applies IoT controllers and hypervisors to support IoT applications and virtualized networks respectively. Moreover, we present future research works according to the proposed framework.

Network communication shows a variety of issues with the fast expansion of computer devices, ranging from network administration to traffic engineering. A well-known method for improving these connections is Software-Defined Networking ((SDN)). The (SDN) is a Networking architecture that separates the control plane from the data plane to ease network administration. The main advantage of the (SDN) is the central controller. However, it has security flaws like unreachability in Distributed Denial-of-Service attacks (DDoS). Hence, defending (SDN) against DDoS attacks is critical. We proposed a framework for detecting DDoS attacks and a fault-tolerant method to replace faulty leader controller in distributed multi-controller (SDN). We used multi-controllers architecture and leader election algorithm to present a fault-tolerant framework to select a new leader controller, in the case of a leader controller failure. In addition, an early DDoS attack detection algorithm using the entropy of destination IP addresses and the packet window initiation rate is presented. To evaluate our proposed method in various configurations, we simulated exhaustive experiments in Mininet and Floodlight. The results show that our approach outperforms similar algorithms in various network configurations and multi-victim attacks.

In the field of computer networks, the introduction of (SDN) has been associated with new concepts. In (SDN) networks, control plane is separated from the data palne. Traditional networks suffer from difficult configuration and management. In other words, a change in the network needs to be configured on the whole equipment. With the introduction of (SDN), various modules can be designed and run in controller in order to perform expected policies and rules on all switches. One of the areas of network management is to deal with cyber-attacks. In (SDN) networks, security modules can be designed to run in the controller and generate rules on switches. Due to the importance of intranets, this paper aimed to detect and prevent ARP poisoning attack on LAN. The tests in a LAN showed that the module can detect the ARP poisoning attack and block the attacker operation.

Not long ago, the only things connected to the Internet were Personal Computers, while nowadays everything are connected to the Internet from clothes to kitchen appliances. Therefore, Internet of Things (IoT) is more pervasive today. IoT nodes should be able to continue their activities for a long period of time using only their batteries without recharging. IoT is a heterogeneous network and each of its equipment developed independently with difference technologies. Given these properties, IoT typically is relied on the battery. Moreover, it faces with energy constraints because of the limited batteries capacity. In this paper, by considering Internet of Things properties, we propose a novel data encoding method to reduce energy consumption and increase battery via reducing the amount of transmitted data over the network. Moreover, we further reduce the energy consumption by taking the advantages of Software-Defined Networking ((SDN)). The results show that energy consumption is reduced 20%, on average without using (SDN) and 39% in our (SDN)-based system.

Software-Defined Networking ((SDN)) is a viable approach for management of large and extensive networks with flexible quality of service requirements and huge data traffic. Due to the central role of (SDN) controllers in traffic engineering and performance of Software-Defined networks on one hand, and diversity of available (SDN) controllers on the other hand, an evaluation framework is required to study and compare the architectural choices and performance of distributed and centralized (SDN) controllers in action. In this paper, we propose a comprehensive framework for performance evaluation of OpenFlow (SDN) controllers. In this simulation platform, we analyze both centralized and decentralized architectures for controller deployment. Performance of controllers is evaluated based on Quality of Service (QoS) measures including delay and throughput in different network topologies under different workloads. The impact of routing protocols on controller performance in data center networks is also analyzed. Our results can provide valuable insights for scalable design and proper deployment of (SDN) controllers in the real world scenarios.

Software-Defined Networking ((SDN)) strategy is a significant factor in developing the Internet of Things (IoT). (SDN) deploys a centralized controller on the gateway and outside the perception layer of the IoT network. In IoT, the increasing number of things leads to an increase in data production and growth of network traffic to access the cloud-based data center. Ensuring the quality of service (QoS) is one of the most important pillars of any network. One of the key factors in increasing the level of QoS in networks is reducing the access delay using fog computing and also service improvement for nodes with a non-uniform importance degree approach. This article presents a two-level hierarchical control model for Software-Defined IoT networks, including the sub-controller in IoT nodes and the main controller in the IoT gateway. By placing the main controller in the fog layer equipped with the (SDN), the results of the simulation show that this approach makes the IoT network manageable in an innovative way, with a higher QoS level and with less processing cost (10%), and less access delay (20%).