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Security and Privacy in Smart Grid Demand Response Systems
Distributed MILS Architectural Approach for Secure Smart Grids
Determining the Probability of Smart Grid Attacks by Combining
Attack Tree and Attack Graph Analysis
Selective release of smart metering data in multi-domain smart grids
Redactable Signatures to Control the Maximum Noise for Differential Privacy in the Smart Grid
A Threat Analysis Methodology for Smart Home Scenarios
A Privacy-friendly Framework for Vehicle-to-Grid Interactions
Reactive Security for Smart Grids
Privacy in Residential Demand Side Management Applications
Enhancing Problem Frames with Trust and Reputation for Analyzing Smart Grid Security Requirements
CryPLH: Protecting smart energy systems from targeted attacks with a PLC honeypot.

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