# LSSDNF: A Lightweight Secure Software Defined Network Framework for Future Internet in 5G-6G
## 2 Related Work
The core components of the overall system framework are an automated security management function that aids the SDN controller in attack detection and mitigation and a network security monitor function that helps network managers keep tabs on the health of their networks. According to [PERSON] et al. (2018) [20], a physically-centralized control plane with a single-controller overseeing the entire network is the ideal option in terms of simplicity. A single-controller system, though, might not be able to keep up with the network's expansion [20]. With an increase in requests and a struggle to maintain the same level of performance, it is likely to become overloaded (a controller bottleneck). A Data Center Network primarily consists of tens of thousands of switching components. One centralized SDN controller could get overloaded by the volume of control events produced by such a large number of forwarding components that can develop quickly. Specifically, WANs and overlay networks are logically dispersed control plane architecture that functions in multi-domain heterogeneous contexts. The most apparent benefit of distributed SDN is the separation of the control plane's intra-domain and inter-domain features, with each feature being carried out by a different component of the distributed SDN architecture. Routing attacks change how packets are routed on IoT networks by manipulating routing control information [21]. [PERSON] et al. (2018) [21] present that through the generation of fake erroneous routing notifications, hostile attackers can construct routing loops. Routing attacks have been researched using a variety of tactics. A malicious node advertises the shortest path to a destination node in a Black Hole attack, forcing all packets to be forwarded to that node. The enemy can then drop or modify the arriving packets. In a Sybil attack, an adversary device, or Sybil node, can generate false routing information and claim a genuine identity in the IoT network, which can change the proper forwarding rules of nearby nodes. On recent attacks and defense strategies for distributed denial of service (DDoS) attacks, [PERSON] et al. (2021) [22] highlighted TCP SYN flood attacks in IoT and SDN in particular. Additionally, they summarised a simple method for detecting TCP SYN flood assaults in IoT networks, a predictive model for mitigating SYN TCP attack detection, and bots that resemble Mirai as IoT-based DDoS attacks. Mirai employs bot instances that launch TCP SYN flood attacks on the targeted computing resources. Customizing blockchains to increase the security and energy efficiency of SDN was presented by [PERSON] et al. in 2022 [23]. IoT's computation and energy bottleneck problem must be rapidly managed if safe and reliable services are to be provided. They concentrated on minimizing a few network-related issues with IoT. They have been suggested as an architecture for IoT networks to increase security and energy efficiency by utilizing the power of AI. They combined two cutting-edge AI-based technologies, blockchain, and SDN, and took advantage of their promise for effective data analysis, data security, and energy management. A cluster-based framework has been established for the IoT network with blockchain integration for the SDN controller. The blockchain is utilized on networks that are both public and private. A brief description of the related work is shown in Table 1.  
When using traditional networks in the modern era, several problems can occur. They unquestionably no longer exist. We must rethink how we approach networking in light of technologies like cloud computing, remote work, and multi-device management. The amount of data being transmitted grows daily, which increases the number of 5G and 6G devices. When a new network device is added to the system, rewriting is required. All of these gadgets have human controllers. Along with the development of 5G and 6G networks, more devices need to be monitored. Managing these massive 5G and 6G network infrastructures is difficult.