Performance Evaluation of Differential Privacy Mechanisms in Blockchain based Smart Metering

by   Muneeb Ul Hassan, et al.

The concept of differential privacy emerged as a strong notion to protect database privacy in an untrusted environment. Later on, researchers proposed several variants of differential privacy in order to preserve privacy in certain other scenarios, such as real-time cyber physical systems. Since then, differential privacy has rigorously been applied to certain other domains which has the need of privacy preservation. One such domain is decentralized blockchain based smart metering, in which smart meters acting as blockchain nodes sent their real-time data to grid utility databases for real-time reporting. This data is further used to carry out statistical tasks, such as load forecasting, demand response calculation, etc. However, in case if any intruder gets access to this data it can leak privacy of smart meter users. In this context, differential privacy can be used to protect privacy of this data. In this chapter, we carry out comparison of four variants of differential privacy (Laplace, Gaussian, Uniform, and Geometric) in blockchain based smart metering scenario. We test these variants on smart metering data and carry out their performance evaluation by varying different parameters. Experimental outcomes shows at low privacy budget (ε) and at low reading sensitivity value (δ), these privacy preserving mechanisms provide high privacy by adding large amount of noise. However, among these four privacy preserving parameters Geometric parameters is more suitable for protecting high peak values and Laplace mechanism is more suitable for protecting low peak values at (ε = 0.01).


page 1

page 2

page 3

page 4


Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid

In order to efficiently provide demand side management (DSM) in smart gr...

The Influence of Differential Privacy on Short Term Electric Load Forecasting

There has been a large number of contributions on privacy-preserving sma...

Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon

In this paper, we define discounted differential privacy, as an alternat...

Blockchain-Based Differential Privacy Cost Management System

Privacy preservation is a big concern for various sectors. To protect in...

Quantifying the Tradeoff Between Cybersecurity and Location Privacy

Previous data breaches that occurred in the mobility sector, such as Ube...

Statistical Verification of Traffic Systems with Expected Differential Privacy

Traffic systems are multi-agent cyber-physical systems whose performance...

Differential Privacy Meets Maximum-weight Matching

When it comes to large-scale multi-agent systems with a diverse set of a...

Please sign up or login with your details

Forgot password? Click here to reset