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Cyber Security on Transactions in
Smart Metering Systems using
Blockchain
Student: M.C. Juan Carlos Olivares Rojas
Advisors: Dr. Enrique Reyes Archundia,
Dr. José Antonio Gutiérrez Gnecchi
October 2019
Motivation
Source: IEEE
The Data Revolution
Smart City / Smart Grid
Source: WebNMS
Smart Metering System
Source: PGE
AMI Architecture
Source: ELP (Electric Light Power)
Non-Technical Losses
PSG 2017-2031
Reduce loss level to 13.38%
Tampering SMI
Source: Maxim
Cyber Security Issues in
SMS
Source: self-made
Related works
Blockchain
Source:Tien Tuan Anh Dinh, et al. (2017). “DOI 10.1109/TKDE.2017.2781227
Literature Review
Work Features BC Type Algoritmo
Consenso
Processing Smart
Contr
act
Chain Type Others
Priwatt Comercialization Private
permisioned
Proof-of-
concept*
Cloud S Simple Multi-Signatures
Helios Comercialization Private
permisioned
PoS Cloud S Simple
BC IoT Security Smart
Home
Private/Public PoW Cloud N Double External Storage
Server
Grid
Monitoring
Security SG Private
permisioned
PoW* Cloud N Simple Different data
structures on BC
Phantom Criptocurrencies
BC General
Public/Privated Double: Proof-of-
reputation and
Proof-of-
computingWork
Cloud N Multi-tier BlockDAG
Fluree Databases BC Public* PoW* Cloud N Simple Databases on BC
Blok4Forensi
c
Forensic Audit Private
permisioned and
permisionless
PoS Cloud N Simple Data
Fragmentation on
BC
Arq. Dist. BC
Cloud
Distributed
Computing
Architecture
Public
permisioned and
permisionless
PoW* Cloud/Fog N Double SDN
Consortium Malware
Detection
Private/Public Hybrid:
PoW/PoS
Cloud Partial Double Legal Prose
Proposal:
AMI-BC
Security on SMS
Transactions
Private
permisioned
and
permisionless
Hybrid per each
tier
Proof-of-
Efficiency
Cloud/Fog/ IoT
(medidores y
dispositivos)
Partia
l
(Pros
a)
Multi-tier External BC
Interconection
Data Frag. on
BC
Cloud-Fog-Edge
Source: self-made
1
2
Arquitecture Proposed
PoEf:
Proof-of-
Efficiency
Source: self-made
SM
readings
Forecast
model
DC
Predicting
and
adjusting
A,
SAs,
DER*
Trained
Forecast
model
Feeding
the model
Data for
other SMs:
Day, week,
Month, year
Lightweight
Time-Series Algorithm
Intermediate weight
Time-Series Algorithm
PoEf: Consumption Prediction
Source: self-made
SM
measurements
Classification
and
Prediction
Model
DC
Predicting and
Checking power quality events
In real-time
A,
SAs,
DER
Trained
Forecast
model
Events occured
of
Power quality
Data for
other SMs
K-means and decision tree
K-means Algorithm variation
PoEf: Power Quality Estimation
Source: self-made
SM
measurements Consumption/
Production
Patterns
DC
Predicting annomaly events
in real-time
A,
SAs,
DER
Trained
model
Annomaly
Events
Data for
other SMs
Rules validator
Bayessian classificator
Behavior
Rules
Alarms to the
Utility and SM
PoEf: Energy Fraud Detection
Source: self-made
Agent
Lower level
1
Agent
Upper level
2
34
PoEf: Energy Fraud Detection
Source: self-made
Reinforcement Learnig Approach
Smart Pi
State of the Research
Questions?
Thank you!
jcolivares@itmorelia.edu.mx
http://dsc.itmorelia.edu.mx/msc
http://sagitario.itmorelia.edu.mx/pelectron
http://sagitario.itmorelia.edu.mx/dci

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Cyber Security on Transactions in Smart Metering Systems usign Blockchain

Editor's Notes

  1. 1
  2. Sample Advanced Metering Infrastructrue network model
  3. Attacks: Tampering DB (Man-in-the-middle, Replay Attacks, False Injection of Packets, DoS): stored, processed and sent. Not Data Tampering with Physical Attacks*
  4. Contribuir a mejorar la Security de las transacciones en los Sistemas de Medición Inteligente utilizando un mecanismo de cadenas de bloques que permitan garantizar la integridad, confidencialidad y disponibilidad de la información para garantizar la confianza entre los usuarios y la empresa eléctrica. El proyecto involucra analizar diversos esquemas de Cyber Security en las comunicaciones de Sistemas de Medición Inteligentes, que aporte mecanismos de protección de la información en los instrumentos de medición inteligentes (Smart Meters) que puedan ser implementados en nuevos dispositivos o adaptados a dispositivos ya existentes.
  5. Criptografía IDS Intercambio de claves Cadena de Bloques* Solutions: Cryptographic Authentications/PKI IDS Blockchain (currency, trading energy, supplychain, ID) Why our proposal is a good solution? Not implementations (Related Works). Perhaps novel BC solutions are appearing. Blockchains mechanish is a better solutions for Data Base Tampering than others solutions such as: PKI, Single Cryptograpy, IDS
  6. Muchos Works enfocados en Comercialization de Energía Algoritmos de cifrados y firmas digitales Estructura de la cadena Energy Trading Proof-of-Stake Perfect Bizantine Tolerance Failure
  7. Algoritmo de consenso. Arquitectura Multi-tier. Implementacion BC en IoT Se cuenta con un modelo de cómputo en niveles (cloud, fog y edge compuntig) Integración de Cadenas Algoritmo de Consenso Prueba de Eficiencia (proof-of-efficiency) Se premia (descuento monetario) a los nodos que han tenido mejor consumo energético en base a rendimiento previo (analítica de datos de la cadena) También se premia a los productores en base a la calidad de la energía proporcionada.
  8. Prometheus
  9. Prometheus