Abstract
In smart cities, advanced metering infrastructure (AMI) of the smart grid facilitates automated metering, control and monitoring of power distribution by employing a wireless network. Due to this wireless nature of communication, there exist potential threats to the data privacy in AMI. Decoding the energy consumption reading, injecting false data/command signals and jamming the networks are some hazardous measures against this technology. Since a smart meter possesses limited memory and computational capability, AMI demands a light, but robust security scheme. In this paper, we propose a localization-based key management system for meter data encryption. Data are encrypted by the key associated with the coordinate of the meter and a random key index. The encryption keys are managed and distributed by a trusted third party (TTP). Localization of the meter is proposed by a method based on received signal strength (RSS) using the maximum likelihood estimator (MLE). The received packets are decrypted at the control center with the key mapped with the key index and the meter’s coordinates. Additionally, we propose the k-nearest neighbors (kNN) algorithm for node/meter authentication, capitalizing further on data transmission security. Finally, we evaluate the security strength of a data packet numerically for our method.
Highlights
The smart grid is the modern electric power system utilizing an innovative communication and distribution system to deliver electricity to end users with improved monitoring, control and efficiency
We propose a key management-based security scheme utilizing the location of meters, derived from received signal strength (RSS) of the radio signal
The k-nearest neighbors (kNN) algorithm was proposed by Cover and Hart, where k denotes the number of nearest neighbors that are helpful to predict the class of the test sample [18]
Summary
The smart grid is the modern electric power system utilizing an innovative communication and distribution system to deliver electricity to end users with improved monitoring, control and efficiency. In 2013, the U.S electric utilities had 51,924,502 AMI smart meter installations of which about 89% were residential customer installations [8]. These meters mainly consist of in-built full-duplex communication mode with periodical/on-demand reception and transmission of data. We propose a key management-based security scheme utilizing the location of meters, derived from received signal strength (RSS) of the radio signal. KNN is amongst the best choice for the classification with a dataset with little or no prior knowledge For these reasons, the combination of data encryption by secret key and node authentication using the kNN algorithm provides a potential solution for AMI.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
