AgSec: secure and efficient CDMA-based aggregation for smart metering systems

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Authors
Alamatsaz, Navid Reza
Boustani, Arash
Jadliwala, Murtuza Shabbir
Namboodiri, Vinod
Advisors
Issue Date
2014-01
Type
Conference paper
Keywords
AgSec , SGN , Communication overhead , Cryptographic techniques , Data aggregation , Efficient CDMA , Mathematical analysis , Network capacity , Network energy , Power grid , Privacy concerns , Secure CDMA , Security concerns , Smart grid networks , Smart metering systems , Statistical functions , Utility center
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Citation
Alamatsaz, N.; Boustani, A.; Jadliwala, M.; Namboodiri, V., "AgSec: Secure and efficient CDMA-based aggregation for smart metering systems," Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th , vol., no., pp.489,494, 10-13 Jan. 2014
Abstract

Security and privacy concerns in the future power grid have recently received tremendous focus from security advocates. Most existing security mechanisms utilize cryptographic techniques that are computationally expensive and bandwidth intensive. However, aggregating the large outputs of these cryptographic algorithms has not been considered thoroughly. Smart Grid Networks (SGN) generally have limitations on bandwidth, network capacity and energy. Hence, utilizing data aggregation algorithms, the limited bandwidth can be efficiently utilized. Most of the aggregation algorithms use statistical functions such as minimum, maximum, and average. before transmitting data over the network. Existing aggregation algorithms, in SGNs, are generally expensive in terms of communication overhead, processing load and delay. However, our proposed CDMA-based data aggregation method provides access to all the data of all the smart meters in the root node, which in this case is the Utility Center, while keeping the smart metering data secure. The efficiency of the proposed method is confirmed by mathematical analysis.

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Publisher
IEEE
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Series
2014 IEEE 11th Consumer Communications and Networking Conference (CCNC);
PubMed ID
DOI
ISSN
2331-9852
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