Virtual-Lattice Based Intrusion Detection Algorithm over Actuator-Assisted Underwater Wireless Sensor Networks

Abstract

Due to the lack of a physical line of defense, intrusion detection becomes one of the key issues in applications of underwater wireless sensor networks (UWSNs), especially when the confidentiality has prime importance. However, the resource-constrained property of UWSNs such as sparse deployment and energy constraint makes intrusion detection a challenging issue. This paper considers a virtual-lattice-based approach to the intrusion detection problem in UWSNs. Different from most existing works, the UWSNs consist of two kinds of nodes, i.e., sensor nodes (SNs), which cannot move autonomously, and actuator nodes (ANs), which can move autonomously according to the performance requirement. With the cooperation of SNs and ANs, the intruder detection probability is defined. Then, a virtual lattice-based monitor (VLM) algorithm is proposed to detect the intruder. In order to reduce the redundancy of communication links and improve detection probability, an optimal and coordinative lattice-based monitor patrolling (OCLMP) algorithm is further provided for UWSNs, wherein an equal price search strategy is given for ANs to find the shortest patrolling path. Under VLM and OCLMP algorithms, the detection probabilities are calculated, while the topology connectivity can be guaranteed. Finally, simulation results are presented to show that the proposed method in this paper can improve the detection accuracy and save the energy consumption compared with the conventional methods.

VA: Virtual Node Assisted Localization Algorithm for Underwater Acoustic Sensor Networks

“…According to VAS and equation (7) combining with Fig. 11, we can obtain the coordinate (x N , y N ) of underwater unlocated node at point N. However, a problem existed here is that the distance of d B2 N is unknown, and the original coordinates of N points cannot be obtained normally through VAS, so d B2 N must be found.…”

“…Underwater Acoustic Sensor Networks (UASNs) have attracted many attentions due to their important applications in multiple fields such as environmental monitoring, offshore exploration, disaster prevention, and military surveillance [1]- [3]. In UASNs, node localization is one of the hot research areas, because it plays an important supporting role in many processes such as node recovery, topology control, routing decision [4], [5], application monitoring [6], [7] etc.…”

Quantization-Mitigation-Based Trajectory Control for Euler-Lagrange Systems with Unknown Actuator Dynamics

“…Please note that Euler-Lagrange systems have significant advantages in modelling the dynamical processing for industrial applications, such as [ 14 , 15 , 16 , 17 , 18 , 19 ]. However, it is non-trivial to apply the linear system-based results to control the Euler-Lagrange systems.…”

Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

“…How to identify various network attacks is a key technology that needs to be solved [9,10]. The security studies of wireless sensor networks mainly focuses on the following aspects: (1) various network attack models and defense strategies; (2) encryption algorithms, key management, and authentication technology; (3) network routing and the security of data fusion; and (4) network intrusion detection systems and response models [11,12]. The security studies of wireless sensor networks can be divided into passive defense and active defense.…”