Research On Sink-Location Privacy Protection In Wireless Sensor Networks

Wireless sensor networks (WSNs) has a wide range of application scenarios, such as for monitoring enemies in battle field environment, Bio-Medical, smart home system and environment. Wireless sensor networks is composed by the deployment of a large number of cheap micro sensor nodes within the monitoring area, and is formed to be a self-organizing multi-hop network through wireless communication, and it collects data in the area, then the data is transmitted to the observer. Wireless sensor networks is considered to be one of the technologies which have a huge influence on the21st century.However, WSNs is usually deployed in the harsh environments, and the node in the network has very few resources. So WSNs is very vulnerable, its security issues is facing the threat of the attackers. Study of the node’s location privacy in the network has a increasing attention of researchers. Sink node is the gateway of the network which is the connection of WSNs and the external network. The news collected by the sensor networks will be send to the observer through the sink node. Further, the observer could release new monitoring task through the sink node to the sensor network. Then, once the sink node attackers attacks the sink node, the entire sensor networks will be paralysis. Aiming the location privacy protection of the sink node, the paper’s main works are as follows.(1) First, we elaborate the WSNs, including its architecture, topology, network features, applications and security issue. Then we show the importance of critical nodes in the network location privacy protection. We analyzes and summarizes the exiting algorithms of sink node location privacy protection in WSNs, then, indicate the advantages and disadvantages of each algorithm.(2) When the attackers that have a global view of network communication and can lead the adversary toward the travel direction of messages hop by hop till they reach the sink. This paper proposes protection program:k-anonymity based and fake packet injection strategy for the protection of sink node location privacy in WSNs. There are k nodes which are very similar to the nodes that are nearby the sink node. So, we can confuse the global attackers. To extend the safety time, when the anonymity nodes receive a packet, they generate a fake packet to the network.In order to control the balance of network security between the safe time and energy consumption, probability of generating a fake packet is set to be pfake, and the Time to Live(TTL) of the fake packet is set to be TTL. Through the fake packet injection, we can lead the attackers to a wrong location.(3) We use genetic algorithms(GA) to calculate the deployment of the optimal k-anonymity nodes in the network, which including the numbers of k and the locations of the anonymity nodes. We propose a model to solve the problem. We firstly calculate the number of k, then calculate the locations of the anonymity nodes by GA.