Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Statistical-Based Privacy-Preserving Scheme with Malicious Consumers
  Identification for Smart Grid   As smart grids are getting popular and being widely implemented, preserving
the privacy of consumers is becoming more substantial. Power generation and
pricing in smart grids depends on the continuously gathered information from
the consumers. However, having access to the data relevant to the electricity
consumption of each individual consumer is in conflict with its privacy. One
common approach for preserving privacy is to aggregate data of different
consumers and to use their smart-meters for calculating the bills. But in this
approach, malicious consumers who send erroneous data to take advantage or
disrupt smart grid cannot be identified. In this paper, we propose a new
statistical-based scheme for data gathering and billing in which the privacy of
consumers is preserved, and at the same time, if any consumer with erroneous
data can be detected. Our simulation results verify these matters.

9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol