Sensor nodes are easily compromised to malicious attackers due to an open environment. A false injected attack which takes place on application layer is elected by the compromised node. If the false report arrives in ...Sensor nodes are easily compromised to malicious attackers due to an open environment. A false injected attack which takes place on application layer is elected by the compromised node. If the false report arrives in a base station, a false alarm is occurred, and the energy of the nodes is consumed. To detect the false report, statistical en-route filtering method is proposed. In this paper, we proposed the secure path cycle selection method using fuzzy rule-based system to consume effective energy. The method makes balanced energy consumption of each node. Moreover, the lifetime of the whole network will be increased. The base station determines the path cycle using the fuzzy rule-based system. The performance of the proposed method is demonstrated using simulation studies with the three methods.展开更多
Wireless sensor networks (WSNs) consist of a large number of sensor nodes that monitor the environment and a few base stations that collect the sensor readings. Individual sensor nodes are subject to compromised secur...Wireless sensor networks (WSNs) consist of a large number of sensor nodes that monitor the environment and a few base stations that collect the sensor readings. Individual sensor nodes are subject to compromised security because they may be deployed in hostile environments and each sensor node communicates wirelessly. An adversary can inject false reports into the networks via compromised nodes. Furthermore, an adversary can create a wormhole by directly linking two compromised nodes or using out-of-band channels. If these two kinds of attacks occur simultaneously in a network, existing methods cannot defend against them adequately. We thus propose a secure routing method for detecting false report injections and wormhole attacks in wireless sensor networks. The proposed method uses ACK messages for detecting wormholes and is based on a statistical en-route filtering (SEF) scheme for detecting false reports. Simulation results show that the proposed method reduces energy consumption by up to 20% and provide greater network security.展开更多
Sensor networks include numerous sensor nodes that are vulnerable to physical attacks from the outside because they operate in open environments. The sensor nodes are compromised by an attacker. The compromised nodes ...Sensor networks include numerous sensor nodes that are vulnerable to physical attacks from the outside because they operate in open environments. The sensor nodes are compromised by an attacker. The compromised nodes generate false reports and inject the reports into sensor networks. The false report injection attacks deplete energy of the sensor nodes. Ye et al. proposed Statistical En-Route Filtering (SEF) to defend sensor nodes against the false report injection attacks. In SEF, sensor nodes verify the event reports based on a fixed probability. Thus, the verification energy of a node is the same whether the report is false or valid. But when there are few false reports, energy for verifying legitimate reports may be wasted. In this paper, we propose a method in which each node controls a probability of attempts at verification of an event report to reduce the wasted energy. The probability is determined through consideration of the number of neighboring nodes, the number of hops from the node to the sink node, and the rate of false reports among the 10 most recent event reports forwarded to a node. We simulated our proposed method to prove its energy efficiency. After the simulation, we confirmed that the proposed method is more efficient than SEF for saving sensor node’s energy.展开更多
文摘Sensor nodes are easily compromised to malicious attackers due to an open environment. A false injected attack which takes place on application layer is elected by the compromised node. If the false report arrives in a base station, a false alarm is occurred, and the energy of the nodes is consumed. To detect the false report, statistical en-route filtering method is proposed. In this paper, we proposed the secure path cycle selection method using fuzzy rule-based system to consume effective energy. The method makes balanced energy consumption of each node. Moreover, the lifetime of the whole network will be increased. The base station determines the path cycle using the fuzzy rule-based system. The performance of the proposed method is demonstrated using simulation studies with the three methods.
文摘Wireless sensor networks (WSNs) consist of a large number of sensor nodes that monitor the environment and a few base stations that collect the sensor readings. Individual sensor nodes are subject to compromised security because they may be deployed in hostile environments and each sensor node communicates wirelessly. An adversary can inject false reports into the networks via compromised nodes. Furthermore, an adversary can create a wormhole by directly linking two compromised nodes or using out-of-band channels. If these two kinds of attacks occur simultaneously in a network, existing methods cannot defend against them adequately. We thus propose a secure routing method for detecting false report injections and wormhole attacks in wireless sensor networks. The proposed method uses ACK messages for detecting wormholes and is based on a statistical en-route filtering (SEF) scheme for detecting false reports. Simulation results show that the proposed method reduces energy consumption by up to 20% and provide greater network security.
文摘Sensor networks include numerous sensor nodes that are vulnerable to physical attacks from the outside because they operate in open environments. The sensor nodes are compromised by an attacker. The compromised nodes generate false reports and inject the reports into sensor networks. The false report injection attacks deplete energy of the sensor nodes. Ye et al. proposed Statistical En-Route Filtering (SEF) to defend sensor nodes against the false report injection attacks. In SEF, sensor nodes verify the event reports based on a fixed probability. Thus, the verification energy of a node is the same whether the report is false or valid. But when there are few false reports, energy for verifying legitimate reports may be wasted. In this paper, we propose a method in which each node controls a probability of attempts at verification of an event report to reduce the wasted energy. The probability is determined through consideration of the number of neighboring nodes, the number of hops from the node to the sink node, and the rate of false reports among the 10 most recent event reports forwarded to a node. We simulated our proposed method to prove its energy efficiency. After the simulation, we confirmed that the proposed method is more efficient than SEF for saving sensor node’s energy.
