MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
SPINS: security protocols for sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
On Communication Security in Wireless Ad-Hoc Sensor Networks
WETICE '02 Proceedings of the 11th IEEE International Workshops on Enabling Technologies: nfrastructure for Collaborative Enterprises
Security in wireless sensor networks
Communications of the ACM - Wireless sensor networks
Resilient aggregation in sensor networks
Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks
Aggregate and verifiably encrypted signatures from bilinear maps
EUROCRYPT'03 Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques
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Wireless sensor networks have been proposed for various applications, such as environmental monitoring and tactical military applications. For most of these applications sensors, scattered across a large physical area, organize themselves into a network that forwards data back to a central sink. Sensors are typically assumed to be severely constrained with respect to energy consumption, computational power and communication capabilities (especially the data rate and range of the transmitter). Data-centric networking, where forwarding nodes aggregate or filter data en-route to the central sink, have been proposed to reduce the amount of data transported in the network and conserve energy. This means that data-centric networks are significantly different from traditional end-to-end networks, because data are altered on every hop from the source to the sink. Traditional end-to-end integrity mechanisms ensure that data cannot be modified on the way from the source to the destination. In data-centric networking, however, data is supposed to be altered on every hop from the source to the sink, so new integrity mechanisms must be investigated. In this paper we propose a new "end-by-hop" data integrity service that supports aggregation or filtering in data-centric networks. We also describe a mechanism that could be used to provide this service and provide an initial analysis of the efficiency and security of the mechanism proposed. One of the desirable properties of the proposed mechanism is that it allows the system architect to trade-off the computational load on the sensor nodes against a higher computational load at the sink, which we assume does not have the same severe resource limitations as the sensor nodes.