A Privacy-Aware Data Aggregation Scheme for Smart Grid Based on Elliptic Curve Cryptography With Provable Security Against Internal Attacks

2019 ◽  
Vol 13 (4) ◽  
pp. 109-138 ◽  
Author(s):  
Ismaila Adeniyi Kamil ◽  
Sunday Oyinlola Ogundoyin
Keyword(s):  
Elliptic Curve ◽  
Data Aggregation ◽  
Elliptic Curve Cryptography ◽  
Smart Grids ◽  
Discrete Logarithm ◽  
Electricity Consumption ◽  
Security Requirements ◽  
Security Model ◽  
Smart Meters ◽  
Aggregation Scheme

In smart grids (SGs), smart meters (SMs) are usually deployed to collect and transmit customers' electricity consumption data in real-time to the control center. Due to the open nature of the SG communication, several privacy-preserving data aggregation schemes have been proposed to protect the privacy of customers. However, most of these schemes cannot protect against internal attackers and they are not efficient, since SMs are constrained in processing, memory, and computing capabilities. To address these problems, the authors propose a privacy-aware lightweight data aggregation scheme against internal attackers based on Elliptic Curve Cryptography (ECC). The scheme satisfies all the security requirements of SG, and supports conditional traceability, strong anonymity and autonomy. The authors demonstrate that the proposed scheme provides confidentiality based on the Computational Diffie-Hellman (CDH) assumption and unforgeability in the security model based on the intractability of the Discrete Logarithm (DL) problem. Extensive performance analysis shows that the proposed scheme is very efficient.

A Privacy-Aware Data Aggregation Scheme for Smart Grid Based on Elliptic Curve Cryptography With Provable Security Against Internal Attacks

2021 ◽  
pp. 651-682
Author(s):  
Ismaila Adeniyi Kamil ◽  
Sunday Oyinlola Ogundoyin
Keyword(s):  
Elliptic Curve ◽  
Data Aggregation ◽  
Elliptic Curve Cryptography ◽  
Smart Grids ◽  
Discrete Logarithm ◽  
Security Model ◽  
Smart Meters ◽  
Control Center ◽  
Diffie Hellman ◽  
Aggregation Scheme

In smart grids (SGs), smart meters (SMs) are usually deployed to collect and transmit customers' electricity consumption data in real-time to the control center. Due to the open nature of the SG communication, several privacy-preserving data aggregation schemes have been proposed to protect the privacy of customers. However, most of these schemes cannot protect against internal attackers and they are not efficient, since SMs are constrained in processing, memory, and computing capabilities. To address these problems, the authors propose a privacy-aware lightweight data aggregation scheme against internal attackers based on Elliptic Curve Cryptography (ECC). The scheme satisfies all the security requirements of SG, and supports conditional traceability, strong anonymity and autonomy. The authors demonstrate that the proposed scheme provides confidentiality based on the Computational Diffie-Hellman (CDH) assumption and unforgeability in the security model based on the intractability of the Discrete Logarithm (DL) problem. Extensive performance analysis shows that the proposed scheme is very efficient.

scholarly journals Lightweight Data Aggregation Scheme against Internal Attackers in Smart Grid Using Elliptic Curve Cryptography

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Debiao He ◽  
Sherali Zeadally ◽  
Huaqun Wang ◽  
Qin Liu
Keyword(s):  
Smart Grid ◽  
Elliptic Curve ◽  
Data Aggregation ◽  
Elliptic Curve Cryptography ◽  
Secure Communication ◽  
Security Analysis ◽  
Security Requirements ◽  
Grid Environment ◽  
Practical Applications ◽  
Aggregation Scheme

Recent advances of Internet and microelectronics technologies have led to the concept of smart grid which has been a widespread concern for industry, governments, and academia. The openness of communications in the smart grid environment makes the system vulnerable to different types of attacks. The implementation of secure communication and the protection of consumers’ privacy have become challenging issues. The data aggregation scheme is an important technique for preserving consumers’ privacy because it can stop the leakage of a specific consumer’s data. To satisfy the security requirements of practical applications, a lot of data aggregation schemes were presented over the last several years. However, most of them suffer from security weaknesses or have poor performances. To reduce computation cost and achieve better security, we construct a lightweight data aggregation scheme against internal attackers in the smart grid environment using Elliptic Curve Cryptography (ECC). Security analysis of our proposed approach shows that it is provably secure and can provide confidentiality, authentication, and integrity. Performance analysis of the proposed scheme demonstrates that both computation and communication costs of the proposed scheme are much lower than the three previous schemes. As a result of these aforementioned benefits, the proposed lightweight data aggregation scheme is more practical for deployment in the smart grid environment.

scholarly journals Cost-Effective Data Aggregation Method for Smart Grid

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2911
Author(s):  
Hsi-Chou Hsu ◽  
Shi-Ren Zhuang ◽  
Yung-Fa Huang
Keyword(s):  
Data Collection ◽  
Smart Grid ◽  
Data Aggregation ◽  
Smart Grids ◽  
Electricity Consumption ◽  
Cost Effective ◽  
Smart Meters ◽  
Two Stage ◽  
Network Equipment ◽  
The Cost

Finding a more efficient use of energy is an important problem that needs attention. Compared with the traditional power grid, a smart grid can monitor users’ electricity situation and electricity consumption instantly. However, it involves many problems of deploying network equipment. Consequently, it is vital to promote smart grids by collecting data from smart meters efficiently and keeping costs low. In this article, we propose a two-stage method of data collection for smart grids. The main contribution of this paper is to lower the number of data aggregation points (DAPs) so that the cost can be reduced. By using the K-means method, an entire smart grid can be divided into many smaller parts. In addition, the needs of transmitting and receiving data in the entire smart grid can be met by installing the least number of DAPs. Finally, the simulations show that the proposed two-stage method of data collection can use fewer DAPs to collect data than other methods which use one-stage methods, so the proposed scheme is more cost-effective.

A lightweight and fault-tolerable data aggregation scheme for privacy-friendly smart grids environment

2021 ◽  
Author(s):  
Chengpeng Huang ◽  
Xiaoming Wang ◽  
Qingqing Gan ◽  
Daxin Huang ◽  
Mengting Yao ◽  
...  
Keyword(s):  
Data Aggregation ◽  
Smart Grids ◽  
Aggregation Scheme

scholarly journals An Elliptic Curve-Based Scalable Data Aggregation Scheme for Smart Grid

2020 ◽  
Vol 14 (2) ◽  
pp. 2066-2077
Author(s):  
Yuwen Chen ◽  
Jose-Fernan Martinez-Ortega ◽  
Pedro Castillejo ◽  
Lourdes Lopez
Keyword(s):  
Smart Grid ◽  
Elliptic Curve ◽  
Data Aggregation ◽  
Aggregation Scheme

scholarly journals Elliptic Curve Cryptography-Based Authentication with Identity Protection for Smart Grids

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0151253 ◽  
Author(s):  
Liping Zhang ◽  
Shanyu Tang ◽  
He Luo
Keyword(s):  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Smart Grids ◽  
Identity Protection

scholarly journals Proposed Developments of Blind Signature Scheme based on The Elliptic Curve Discrete Logarithm Problem

2013 ◽  
Vol 2 (1) ◽  
pp. 151-160
Author(s):  
E.H. El Kinani ◽  
Fatima Amounas
Keyword(s):  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Discrete Logarithm ◽  
Mathematical Structure ◽  
Blind Signature ◽  
Discrete Logarithm Problem ◽  
Signature Scheme

In recent years, Elliptic Curve Cryptography (ECC) has attracted the attention of researchers due to its robust mathematical structure and highest security compared to other existing algorithm like RSA. Our main objective in this work was to provide a novel blind signature scheme based on ECC. The security of the proposed method results from the infeasibility to solve the discrete logarithm over an elliptic curve. In this paper we introduce a proposed to development the blind signature scheme with more complexity as compared to the existing schemes. Keyword: Cryptography, Blind Signature, Elliptic Curve, Blindness, Untraceability.DOI: 10.18495/comengapp.21.151160

An Approach to Secure Data Aggregation in Wireless Sensor Networks (WSN) using Asymmetric Homomorphic Encryption (Elliptic Curve Cryptography) Scheme

2017 ◽  
Vol 7 (7) ◽  
pp. 263
Author(s):  
Md Sirajul Huque ◽  
Sk. Bhadar Saheb ◽  
Jayaram Boga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Elliptic Curve ◽  
Sensor Network ◽  
Data Aggregation ◽  
Elliptic Curve Cryptography ◽  
Base Station ◽  
Wireless Sensor ◽  
Secure Data Aggregation ◽  
Secured Data

Wireless sensor networks (WSN) are a collection of autonomous collection of motes. Sensor motes are usually Low computational and low powered. In WSN Sensor motes are used to collect environmental data collection and pass that data to the base station. Data aggregation is a common technique widely used in wireless sensor networks. [2] Data aggregation is the process of collecting the data from multiple sensor nodes by avoiding the redundant data transmission and that collected data has been sent to the base station (BS) in single route. Secured data aggregation deals with Securing aggregated data collected from various sources. Many secured data aggregation algorithms has been proposed by many researchers. Symmetric key based cryptography schemes are not suitable when wireless sensor network grows. Here we are proposing an approach to secured data aggregation in wireless sensor networks using Asymmetric key based Elliptic Curve cryptography technique. Elliptic curve cryptography (ECC) [1] is an approach to public-key cryptography based on the algebraic structure of elliptic curves over finite fields. Elliptic Curve Cryptography requires smaller keys compared to non-Elliptic curve cryptography (based on plain Galois fields) to provide equivalent security. The proposed technique of secure data aggregation is used to improve the sensor network lifetime and to reduce the energy consumption during aggregation process.

Malicious Node Detection in Smart Grid Networks

2021 ◽  
Author(s):  
Faisal Y Al Yahmadi ◽  
Muhammad R Ahmed
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Electricity Consumption ◽  
Cyber Attacks ◽  
Support Vector ◽  
Smart Meters ◽  
Malicious Nodes ◽  
High Detection Rate ◽  
Detection Model ◽  
Electricity Theft

Many countries around the world are implementing smart grids and smart meters. Malicious users that have moderate level of computer knowledge can manipulate smart meters and launch cyber-attacks. This poses cyber threats to network operators and government security. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we propose a model based on software that detects malicious nodes in a smart grid network. The model collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) model is implemented to classify nodes into good or malicious nodes by (high dimensional) giving the statues of 1 for good nodes and status of -1 for malicious (abnormal) nodes. The detection model also displays the network graphically as well as the data table. Moreover, this model displays the detection error in each cycle. It has a very low false alarm rate (2%) and a high detection rate as high as (98%). Future developments can trace the attack origin to eliminate or block the attack source minimizing losses before human control arrives.

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