Localization-Free Detection of Replica Node Attacks in Wireless Sensor Networks Using Similarity Estimation with Group Deployment Knowledge

Abstract

Due to the unattended nature and poor security guarantee of the wireless sensor networks (WSNs), adversaries can easily make replicas of compromised nodes, and place them throughout the network to launch various types of attacks. Such an attack is dangerous because it enables the adversaries to control large numbers of nodes and extend the damage of attacks to most of the network with quite limited cost. To stop the node replica attack, we propose a location similarity-based detection scheme using deployment knowledge. Compared with prior solutions, our scheme provides extra functionalities that prevent replicas from generating false location claims without deploying resource-consuming localization techniques on the resource-constraint sensor nodes. We evaluate the security performance of our proposal under different attack strategies through heuristic analysis, and show that our scheme achieves secure and robust replica detection by increasing the cost of node replication. Additionally, we evaluate the impact of network environment on the proposed scheme through theoretic analysis and simulation experiments, and indicate that our scheme achieves effectiveness and efficiency with substantially lower communication, computational, and storage overhead than prior works under different situations and attack strategies.

Research on Invulnerability Technology of Node Attack in Space-Based Information Network Based on Complex Network

“…At present, the network failure caused by node attacks is a hot topic in research. Ding et al [17] proposed a location-based a similarity detection scheme using deployment knowledge in wireless sensor networks to solve network attacks that generate replication nodes due to being unattended; In addition to focusing on the physical connection topology of SBIN, the study on the invulnerability of SBIN also needs to focus on the other network attributes, such as the degree distribution, betweenness, clustering coefficient, and so on [18][19][20]. It is of great value to grasp these characteristics and rules.…”

Advanced Extremely Efficient Detection of Replica Nodes in Mobile Wireless Sensor Networks

“…Many algorithms such as [6][7][8][9] have been proposed to identify the replica nodes in stationary WSNs. However, these algorithms cannot be employed in mobile WSNs, since most of them rely on transmitting location claims to witness nodes or specific places in the network, or they are particularly designed for some specific topologies.…”

“…Ding et al [8] used similarity estimation with group deployment knowledge to detect cloned nodes in WSNs. They prevent replicas from generating false location claims without deploying localization techniques on the sensor nodes.…”

A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks

“…Clone attacks have attracted the attention of researchers, and there has been much effort on clone detection up to now [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. According to different features, we could classify them into different categories: centralized [12][13][14][15] or distributed [5][6][7][8][9][10][11][16][17][18], witness-based [5,[8][9][10][11][16][17][18] or not, position dependent [5, 8-11, 17, 18] or not, and the scheme is for randomly deployed [5][6][7][8][9][10][11][12][13][14][15][16] or group-deployed networks…”