Bloom Filter-Based Data Hiding Algorithm in Wireless Sensor Networks

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Abstract
Sensor networks hold the promise of facilitating large-scale and real-time data processing in complex environments. Data security is an extremely crucial issue for many sensor network applications. Data hiding technique, which is considered less consumptive than cryptology, is introduced to guarantee the security of the sensitive data in wireless sensor networks. However, the low invisibility of such schemes has always been the most fatal weaknesses. In this paper, we propose an innovative data hiding method. Sensitive data are uniformly and randomly embedded into the ordinary data by using the space-efficient randomized data structure characteristic of Bloom Filter. Full embedding and simple fixed embedding laws are avoided. Any intermediate nodes of the network and eavesdroppers are more difficult to detect the existence of sensitive data. Experimental results and performance analysis demonstrate that the proposed scheme can efficiently protect the sensitive data, without affecting the transmission and usability of the ordinary data. At the same time, this method also has little additional energy consumption.