CRJul 30, 2018

Load Control and Privacy-Preserving Scheme for Data Collection in AMI Networks

arXiv:1807.11565v1
Originality Synthesis-oriented
AI Analysis

This addresses privacy concerns for consumers in smart grid systems, but it is incremental as it builds on existing cryptographic methods.

The paper tackles the problem of protecting consumer privacy in Advanced Metering Infrastructure (AMI) networks by proposing a method using symmetric key cryptography and hashing to collect aggregated power consumption data without revealing individual readings, with assessments showing substantially more effective cryptographic operations compared to other schemes.

In Advanced Metering Infrastructure (AMI) systems, smart meters (SM) send fine-grained power consumption information to the utility company, yet this power consumption information can uncover sensitive information about the consumers' lifestyle. To allow the utility company to gather the power consumption information while safeguarding the consumers' privacy, different methods that broadly utilize symmetric key and asymmetric key cryptography operation have been generally utilized. In this paper, we propose an effective method that uses symmetric key cryptography and hashing operation to gather power consumption information. Moreover, provide the utility company with an overview of the type of the appliances used by its power consumer and range of power use. The idea is based on sending cover power consumption information from the smart meters and removes these covers by including every one of the smart meters' messages, with the goal that the utility can take in the accumulated power consumption information, yet cannot take in the individual readings. Our assessments show that the cryptographic operations required in our scheme are substantially more effective than the operations required in other schemes.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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