Elements of information theory
Elements of information theory
SPINS: security protocols for sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
LEAP: efficient security mechanisms for large-scale distributed sensor networks
Proceedings of the 10th ACM conference on Computer and communications security
State of the Art in Ultra-Low Power Public Key Cryptography for Wireless Sensor Networks
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Toward resilient security in wireless sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Measuring intrusion detection capability: an information-theoretic approach
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
How public key cryptography influences wireless sensor node lifetime
Proceedings of the fourth ACM workshop on Security of ad hoc and sensor networks
STEF: A Secure Ticket-Based En-route Filtering Scheme for Wireless Sensor Networks
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Defending against false-endorsement-based dos attacks in wireless sensor networks
WiSec '08 Proceedings of the first ACM conference on Wireless network security
PVFS: A Probabilistic Voting-based Filtering Scheme in Wireless Sensor Networks
International Journal of Security and Networks
A Novel Verification Scheme for Fine-Grained Top-k Queries in Two-Tiered Sensor Networks
Wireless Personal Communications: An International Journal
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False data filtering schemes are designed to filter out false data injected by malicious sensors; they keep the network immune to bogus event reports. Theoretic understanding of false data filtering schemes and guidelines to further improve their designs are still lacking. This article first presents an information-theoretic model of false data filtering schemes. From the information-theoretic view, we define the scheme's filtering capacity CFi as the uncertainty-reduction ratio of the target input variable, given the output. This metric not only performs better than existing metrics but also implies that only by optimizing the false negative rate and false positive rate simultaneously, can we promote a scheme's overall performance. Based on the investigation from the modeling efforts, we propose HiFi, a hybrid authentication-based false data filtering scheme. HiFi leverages the benefits of both symmetric and asymmetric cryptography and achieves a high filtering capacity, as well as low computation and communication overhead. Performance analysis demonstrates that our proposed metric is rational and useful, and that HiFi is effective and energy efficient.