A tree based location privacy approach against multi-precision continuous attacks in the internet of things

作者：Liu Wenmao^*; Fang Binxing; Yin Lihua; Yu Xiangzhan

来源：Journal of Information and Computational Science, 2012, 9(7): 1807-1819.

• Anonymity-tree
• Continuous attacks
• Dynamic network
• Group setup
• Internet of Things (IOT)
• K-Anonymity
• Location privacy
• Location queries
• Physical layers
• Query efficiency
• Relative location
• Smart objects
• Subtrees
• Tree topology
• Tree-based
• Tree-based approach
• Trilateration

Smart objects may build k-anonymity groups collaboratively to enhance location privacy in the Internet of Things environments, but former spatial cloaking approaches are vulnerable to multi-precision continuous attacks. In this paper, we propose a location query approach based on an anonymity-tree supporting multi-precision queries, in which an improved trilateration method is used to identify objects'; relative location on the physical layer, an anonymity-tree is maintained for topology stability and query efficiency on the network layer. During location query processes smart objects generates new groups on the tree and returns the corresponding cloaked region according to queriers'; identities. Cached information including tree topology and group status limits communication of group setup and member query to some subtrees, thereby network and time overhead are both reduced. The simulations show that the tree-based approach is efficient in a dynamic network, time overhead of the tree-based approach is comparable to the native spatial approach while its ability of resisting multi-precision continuous attack is much better.

• 出版日期2012