Title :
Redundant Metering for Integrity with Information-Theoretic Confidentiality
Author :
Varodayan, David P. ; Gao, Grace Xingxin
Abstract :
Redundant metering is frequently used to verify the integrity of billing data reported by advanced metering infrastructure, but the redundant measurement introduces a potential confidentiality leak. We propose a way to encode the redundant measurement at a bit rate below its entropy, so that it cannot be decoded from the encoded bits alone. In this way, we guarantee information-theoretic confidentiality, regardless of the computational power of an eavesdropper. We provide practical Slepian-Wolf codes to realize security of up to 5 bit/sample for 8-bit samples based on actual power metering experiments.
Keywords :
data integrity; encoding; entropy; home automation; invoicing; power engineering computing; power meters; redundancy; security of data; Slepian-Wolf code; advanced metering infrastructure; billing data integrity; bit rate; eavesdropper; entropy; information-theoretic confidentiality; power metering experiment; redundant measurement encoding; redundant metering; Decoding; Entropy; Image coding; Power measurement; Source coding; Wireless communication;
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
Conference_Location :
Gaithersburg, MD
Print_ISBN :
978-1-4244-6510-1
DOI :
10.1109/SMARTGRID.2010.5622065