Adept smart meters using homomorphic encryption based on factor problem over groups
| Published date | 12 November 2018 |
| Pages | 701-711 |
| Date | 12 November 2018 |
| DOI | https://doi.org/10.1108/ILS-07-2018-0063 |
| Author | Jalaja Valisireddy,Anjaneyulu G.S.G.N |
| Subject Matter | Library & information science,Librarianship/library management,Library & information services |
Adept smart meters using
homomorphic encryption based on
factor problem over groups
Jalaja Valisireddy and Anjaneyulu G.S.G.N
VIT University, Vellore, India
Abstract
Purpose –The purpose of this paper is to replace electronicmeters with smart meters. Smart meters will
provide high resolutionreal-time end-user power consumption data for utilitiesto better monitor and control
the system, which is used forend users to better manage their energy usage and bills. By using smart meters,
we can reduce the errors and alsominimize human intervention in processing information in an efficientway.
So that timewill be reduced for organization functionalitiesand accuracy will be increase.
Design/methodology/approach –The authors propose a new cryptosystem based on factor problem
over non commutativegroups. They tried to use this cryptosystem in the field of electricity.They extend and
transform thisprojected cryptosystem to design expert smart metersbased on homomorphic encryption with
factor problem.
Findings –In these smart meters, a monitoring system is integratedthat preserves customer’s privacy by
homomorphicallyaccumulating the consumption of all n membersof a specific domain.
Originality/value –This expert smart meter system has a proficientlinear O(n) communication cost and
is proven to protect customer's privacy even in the presence of a corrupted substation and some malicious
smart meters.
Keywords Cryptosystem, Factor problem, Homomorphic encryption, Smart metering
Paper type Research paper
1. Introduction
1.1 Significance of information and learning science
Learning science is an interdisciplinary field. It works to further scientific understandingof
learning and engage in the design and implementation of learning innovations and the
improvement of instructional methodologies. Research in the learning science is majorly
contributing the fields such as computer science, cognitive science, educational psychology
and anthropology. Although learning scientists actively use a wide range of methods in
order to conduct rigorousinvestigations of learning in these and other areas. Two particular
methods are much common in learning sciences than in related fields. First method is
design. Now a days, a design is facilitate learning to study whether issues in learning are
constrained by existingresources or pedagogy and whether new technologies or approaches
might overcome theselimits and advance learning.
The present science education is shaped by initiatives undertaken over the past few
decades. The development of education modules about the science will benefit from the
application of the science learning, creative use of online education,and explicit planning to
teach the teachers. The first step is to develop and clear learningoutcomes for the dual use
modules. Online modules will allow the scaling, and assessment tools can be entrenched in
to the technology enabled delivery. Onlinemodules will help to frame the different settings
for the context.
Adept smart
meters
701
Received16 July 2018
Revised9 August 2018
19August 2018
Accepted20 August 2018
Informationand Learning Science
Vol.119 No. 12, 2018
pp. 701-711
© Emerald Publishing Limited
2398-5348
DOI 10.1108/ILS-07-2018-0063
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