Smart clustering attack detection system
R Vinod Kumar, Galla Jayasri, Madhusri M. A, Eddla Vidya · 2023
Due to the development of the internet of things various devices are connected over the common network which leads to the impact of denial of services attacks involved in the traffic. The adaptive strategy needs to be focused to attend the clustering synchronization hands so the channels are protected from Clustering attacks. In a distributed framework in which the local systems are connected to the Global network using a common topology. The secure cluster synchronization based clustering attack detection and updating need to be focused. In the existing system, the mobile vehicular network degrades with energy usage, traffic and congestion will be more. The proposed approach completely analyses the suspicious nodes present in the wireless sensor Network and detects The Clustering Attacks that create malicious problems in the network. The proposed system focused on a clustering-based attack detection approach. The method named hybrid optimization paired with the Chaos Electron search optimization (MCA) method. The complete network topology and synchronization of clustering network performance of a network are being validated using the presented approach. Making the network authorized is highly important to keep the user data. The creation of an authorized cloud, with a dynamic clustering scheme and Intrusion detection framework, is discussed here.