Security and Privacy Challenges in the Smart Grid
IEEE Security and Privacy
Inferring Personal Information from Demand-Response Systems
IEEE Security and Privacy
IEEE Security and Privacy
A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof
IEEE Transactions on Consumer Electronics
Privacy and security challenges in the smart grid user domain
Proceedings of the first ACM workshop on Information hiding and multimedia security
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Smart Metering is an important component of Smart Grids. Detailed load profiles are available through smart metering at a high resolution. Load profiles allow inferring detailed information on the end user by non-intrusive load monitoring. Therefore, these load profiles need to be regarded as sensitive data, and treated with security and privacy in mind. We propose a method that allows conditional access to different resolution levels of the load data, allowing access on a "need-to-know" basis only. For this purpose, a multiresolution representation of the load data is created using the simple Haar wavelet transform. Securing the portions of the wavelet representation pertaining to each resolution with a unique key allows to implement conditional access for smart meter data.