pDCS: Security and Privacy Support for Data-Centric Sensor Networks

Min Shao, Sencun Zhu, Wensheng Zhang, Guohong Cao, Yi Yang
2009 IEEE Transactions on Mobile Computing  
The demand for efficient data dissemination/access techniques to find relevant data from within a sensor network has led to the development of Data Centric Sensor (DCS) networks, where the sensor data instead of sensor nodes are named based on attributes such as event type or geographic location. However, saving data inside a network also creates security problems due to the lack of tamper-resistance of the sensor nodes and the unattended nature of the sensor network. For example, an attacker
more » ... y simply locate and compromise the node storing the event of his interest. To address these security problems, we present pDCS, a privacy-enhanced DCS network which offers different levels of data privacy based on different cryptographic keys. pDCS also includes an efficient key management scheme to facilitate the management of multiple types of keys used in the system. In addition, we propose several query optimization techniques based on Euclidean Steiner Tree and Keyed Bloom Filter to minimize the query overhead while preserving query privacy. Finally, detailed analysis and simulations show that the Keyed Bloom Filter scheme can significantly reduce the message overhead with the same level of query delay and maintain a very high level of query privacy. to study the animals or by an authorized hunter to locate certain types of animals (e.g., boars and deers) for hunting. With DCS, all the sensing data regarding one type of animals are forwarded to and stored in one location. As a result, a zoologist only needs to send one query to the right location to find out the information about that type of animals. Similarly, a soldier can easily obtain enemy tank information from storage sensors through a DCS-based sensor network in the battlefield. ( 2 , 3 )
doi:10.1109/tmc.2008.168 fatcat:sdq427gd2bgmdphumjhl4lwqwy