Identification of Critical Nodes for Enhanced Network Defense in MANET-IoT Networks

Abstract

In heterogeneous environments, the Internet of Things (IoT) combined with mobile ad hoc network (MANET), i.e., MANET-IoT network, becomes more attractive to end users and economically successful. However, the introduction of MANET potentially makes the system more prone to attacks due to its lack of centralized management, weak connectivity, and resource constraints. To enhance the network robustness to intentional attacks, the critical nodes of the MANET-IoT network should be firstly identified and then protected. Most of the existing methods for identifying critical nodes usually focus on static networks or a single topology snapshot in dynamic networks without considering the correlation between topology snapshots, which cannot effectively deal with the dynamic changes in the topology of MANET-IoT networks. In this paper, a dynamic critical node identification (DCNI) method is proposed. First, we propose a comprehensive metric to measure the node importance in the topology snapshot. Then, we introduce a sliding time window to filter out the topology snapshots which have a close correlation with the current snapshot, and fuse the importance values of the same node in different topology snapshots. Finally, the critical nodes are selected based on the ranking result of fused importance. Thereafter, the port hopping mechanism could be applied to the critical nodes for enhancing network defense capability. The simulation results show that the proposed method is more effective in identifying critical nodes than existing static methods in MANET-IoT networks, and the port hopping mechanism can improve network defense significantly to denial of service (DoS) attacks.

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

“…Besides identification naming and addressing, there are also identification methods proposed by other researchers such as DCNI (Dynamic Critical Node Identification) [133], Fog Computing and blockchain [134], [135], SEI (Specific Emitter Identification) using neural network method to identified IoT node using raw IQ (in-phase and quadrature) Journal of Robotics and Control (JRC) ISSN: 2715-5072 445…”

Blockchain Technology for Secured Healthcare Data Communication among the Non-Terminal Nodes in IoT Architecture in 5G Network

“…It is significant in identifying the cluster-head, as the rest of the nodes in the network will work in conjunction with the other intermediate networking nodes in the IoT architecture. The cluster heads are identified through the degree centrality, and the particular corresponding node does share the healthcare data that it has received from the nodes in its cluster, which would reduce the overhead at various other nodes in the network as stated by Z. Niu et al [51] in the paper on the identification of critical nodes.…”

The Performance Analysis and Security Aspects of Manet

“…Routing depletes the residual energy of nodes participating in the routing process, causing the network to consume more energy. For battery-powered nodes, such as MANET nodes, on the other hand, energy is a valuable resource (2). The need for upgrading conventional MANET routing protocols to energy-aware routing protocols, as well as the need for developing new energy-efficient routing protocols for MANETs, is therefore obvious.…”