A study on the sensor network authentication by utilizing a Brownian motion behavior
Wireless sensor networks have emerged as the major criteria that enable the Internet of things evolution. They have wide application range from special domain to civilian and scientific domain thus it is attracted a lot of research. Since security is of the crucial importance of wireless sensor networks, there are existed several authentication techniques for digital right management, and watermarking is a promising approach for ensuring a part of communication security in these networks due to its popular use and lightweight. Watermarking values can be constructed from authentication information to validate sensory data and detect where the data has been altered. In this paper, we propose a novel method to create watermarked data by utilizing natural movement characteristic of Brownian motion node which plays a role as the agent node. Moreover, watermark detection probability of traditional watermarking techniques is evaluated by numerical results to show the proposal efficiency.