Efficient Management of Certificate Revocation Lists in Smart Grid Advanced Metering Infrastructure

Conference · Wed Jul 19 00:00:00 EDT 2017

DOI:https://doi.org/10.1109/MASS.2017.58· OSTI ID:1372486

Cebe, Mumin ^[1]; Akkaya, Kemal ^[2]

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1. Florida Intl Univ., Miami, FL (United States); Florida International University
2. Florida Intl Univ., Miami, FL (United States)

Advanced Metering Infrastructure (AMI) forms a communication network for the collection of power data from smart meters in Smart Grid. As the communication within an AMI needs to be secure, key management becomes an issue due to overhead and limited resources. While using public-keys eliminate some of the overhead of key management, there is still challenges regarding certificates that store and certify the publickeys. In particular, distribution and storage of certificate revocation list (CRL) is major a challenge due to cost of distribution and storage in AMI networks which typically consist of wireless multi-hop networks. Motivated by the need of keeping the CRL distribution and storage cost effective and scalable, in this paper, we present a distributed CRL management model utilizing the idea of distributed hash trees (DHTs) from peer-to-peer (P2P) networks. The basic idea is to share the burden of storage of CRLs among all the smart meters by exploiting the meshing capability of the smart meters among each other. Thus, using DHTs not only reduces the space requirements for CRLs but also makes the CRL updates more convenient. We implemented this structure on ns-3 using IEEE 802.11s mesh standard as a model for AMI and demonstrated its superior performance with respect to traditional methods of CRL management through extensive simulations.

• Research Organization: Florida Intl Univ., Miami, FL (United States)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• DOE Contract Number: OE0000779
• OSTI ID: 1372486
• Country of Publication: United States
• Language: English

Related Subjects

25 ENERGY STORAGE
29 ENERGY PLANNING, POLICY, AND ECONOMY
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
SEEDS
cyber-security
electric vehicles
grid