scholarly journals GridAttackSim: A Cyber Attack Simulation Framework for Smart Grids

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1218
Author(s):  
Tan Duy Le ◽  
Adnan Anwar ◽  
Seng W. Loke ◽  
Razvan Beuran ◽  
Yasuo Tan
Keyword(s):  
Smart Grid ◽  
Communication Networks ◽  
Smart Grids ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Grid System ◽  
Simulation Framework ◽  
Grid Security ◽  
Smart Grid Security ◽  
Smart Grid System

The smart grid system is one of the key infrastructures required to sustain our future society. It is a complex system that comprises two independent parts: power grids and communication networks. There have been several cyber attacks on smart grid systems in recent years that have caused significant consequences. Therefore, cybersecurity training specific to the smart grid system is essential in order to handle these security issues adequately. Unfortunately, concepts related to automation, ICT, smart grids, and other physical sectors are typically not covered by conventional training and education methods. These cybersecurity experiences can be achieved by conducting training using a smart grid co-simulation, which is the integration of at least two simulation models. However, there has been little effort to research attack simulation tools for smart grids. In this research, we first review the existing research in the field, and then propose a smart grid attack co-simulation framework called GridAttackSim based on the combination of GridLAB-D, ns-3, and FNCS. The proposed architecture allows us to simulate smart grid infrastructure features with various cybersecurity attacks and then visualize their consequences automatically. Furthermore, the simulator not only features a set of built-in attack profiles but also enables scientists and electric utilities interested in improving smart grid security to design new ones. Case studies were conducted to validate the key functionalities of the proposed framework. The simulation results are supported by relevant works in the field, and the system can potentially be deployed for cybersecurity training and research.

scholarly journals A lightweight approach towards mutual authentication in a smart grid environment

2021 ◽  
Author(s):  
Debsmita Ghosh
Keyword(s):  
Smart Grid ◽  
Key Management ◽  
Smart Grids ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Cyber Attacks ◽  
Grid Security ◽  
Smart Meters ◽  
Average Delay ◽  
Smart Grid Security

Smart grids allow automated meter readings and facilitate two-way communications between the smart meters and utility control centers. As the smart grid becomes more intelligent, it becomes increasingly vulnerable to cyber-attacks. Smart grid security mainly focuses on mutual authentication and key management techniques. An impeding factor in grid security is the memory and processing constraints of the smart meters. The aim of this thesis is to propose a lightweight mutual authentication protocol with an effective key renewal mechanism between a residential smart meter and a gateway. The authentication protocol proposed in the thesis, guarantees source authentication, data integrity, message confidentiality, as well as non-repudiation. The security analysis renders this protocol robust against several attacks. Furthermore, its performance analysis provides meticulous results as to how the proposed protocol is efficient in terms of computation overhead, average delay and buffer occupancy at the gateway.

A lightweight approach towards mutual authentication in a smart grid environment

2021 ◽  
Author(s):  
Debsmita Ghosh
Keyword(s):  
Smart Grid ◽  
Key Management ◽  
Smart Grids ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Cyber Attacks ◽  
Grid Security ◽  
Smart Meters ◽  
Average Delay ◽  
Smart Grid Security

Smart grids allow automated meter readings and facilitate two-way communications between the smart meters and utility control centers. As the smart grid becomes more intelligent, it becomes increasingly vulnerable to cyber-attacks. Smart grid security mainly focuses on mutual authentication and key management techniques. An impeding factor in grid security is the memory and processing constraints of the smart meters. The aim of this thesis is to propose a lightweight mutual authentication protocol with an effective key renewal mechanism between a residential smart meter and a gateway. The authentication protocol proposed in the thesis, guarantees source authentication, data integrity, message confidentiality, as well as non-repudiation. The security analysis renders this protocol robust against several attacks. Furthermore, its performance analysis provides meticulous results as to how the proposed protocol is efficient in terms of computation overhead, average delay and buffer occupancy at the gateway.

scholarly journals Malware Detection for Cyber Security Enhancement in Smart Grid

10.29007/fn3p ◽  
2018 ◽  
Author(s):  
Congmiao Li ◽  
Dipti Srinivasan ◽  
Thomas Reindl
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Detection System ◽  
Malware Detection ◽  
Cyber Attacks ◽  
Grid Security ◽  
Embedded Devices ◽  
Security Enhancement ◽  
Smart Grid Security ◽  
Security Problem

Many embedded systems in a Smart Grid have special constraints in terms of timing, cost and power consumption to ensure security. This paper addresses the Smart Grid security problem with a focus on improving the security of crucial components, and reducing the risks from cyber attacks. A hardware architecture to enhance the security of important embedded devices in the smart grid has been proposed and implemented. This hardware based malware detection system runs on a dedicated hardware implemented with FPGA logic, and allows detection in near real-time. The system architecture and results are presented in the paper.

Reliability of Smart Grid Including Cyber Impact

2021 ◽  
pp. 163-174
Author(s):  
Janavi Popat ◽  
Harsh Kakadiya ◽  
Lalit Tak ◽  
Neeraj Kumar Singh ◽  
Mahshooq Abdul Majeed ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Cyber Security ◽  
Smart Grids ◽  
Reliability Assessment ◽  
Grid Security ◽  
Security Issues ◽  
Smart Grid Security ◽  
Intelligent Electronic Devices ◽  
Improve Reliability

Smart grid has changed power systems and their reliability concerns. Along with that, cyber security issues are also introduced due to the use of intelligent electronic devices (IEDs), wireless sensory network (WSN), and internet of things (IoT) for two-way communication. This chapter presents a review of different methods used from 2010 to 2020 focusing on citation as the main criteria for reliability assessment of smart grids and proposals to improve reliability when it comes to assessing a practical transmission system. It shows that evolutionary techniques are the latest trend for smart grid security.

scholarly journals Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 980 ◽  
Author(s):  
Krishan Arora ◽  
Ashok Kumar ◽  
Vikram Kumar Kamboj ◽  
Deepak Prashar ◽  
Sudan Jha ◽  
...  
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Unit Commitment ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Grid System ◽  
Unit Commitment Problem ◽  
Load Frequency ◽  
Fixed Dimension ◽  
Smart Grid System

In the recent era, the need for modern smart grid system leads to the selection of optimized analysis and planning for power generation and management. Renewable sources like wind energy play a vital role to support the modern smart grid system. However, it requires a proper commitment for scheduling of generating units, which needs proper load frequency control and unit commitment problem. In this research area, a novel methodology has been suggested, named Harris hawks optimizer (HHO), to solve the frequency constraint issues. The suggested algorithm was tested and examined for several regular benchmark functions like unimodal, multi-modal, and fixed dimension to solve the numerical optimization problem. The comparison was carried out for various existing models and simulation results demonstrate that the projected algorithm illustrates better results towards load frequency control problem of smart grid arrangement as compared with existing optimization models.

scholarly journals Design Smart Grid Hybrid in Faculty of Engineering Universitas Negeri Yogyakarta

2021 ◽  
Vol 2111 (1) ◽  
pp. 012003
Author(s):  
Muhamad Ali ◽  
BT Djoko Laras ◽  
Muhfizaturrahmah ◽  
PS Deny
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Power Plants ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Grid System ◽  
Power Sources ◽  
Renewable Power ◽  
Study Results ◽  
Smart Grid System

Abstract The Faculty of Engineering, Universitas Negeri Yogyakarta (UNY), as one of the educational institutions in Engineering, still uses electrical energy from PT PLN, mainly generated from steam and gas power plants. Dependence on fossil energy can be reduced by utilizing renewable power plants, both solar and wind. For this reason, it is necessary to study the use of a Smart Grid system that can regulate electricity needs by optimizing renewable power plants. The Smart Grid components consist of solar power plants, wind power plants, batteries, inverters, and grid power sources from PLN integrated into the Smart grid system. We have designed the Smart Grid system through field observations and data processing with the HOMER Pro software to obtain an optimal hybrid power generation system and wind turbine. The study results indicate that the Faculty of Engineering, UNY has excellent potential to develop smart grids. The potential for solar energy is 418.393 kWh/year, and wind energy is 2.78 kWh/year. The Smart grid system is sufficient to meet the electricity consumption of only 205.5 kWh/year.

scholarly journals Incorporating blockchain and internet of thing: The context of renewable energy certificate on smart grid

2021 ◽  
Vol 300 ◽  
pp. 01004
Author(s):  
Guang Chen ◽  
Mingda He ◽  
Chang Liu ◽  
Jianbin Gao
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Smart Grids ◽  
Energy Sources ◽  
The Internet ◽  
Grid System ◽  
Grid Networks ◽  
Smart Grid System ◽  
The Internet Of Things ◽  
Internet Of Thing

Blockchain and the Internet of Things (IoT) complements each other within the space of decentralization, real time monitoring, and data sharing and security. In this paper we explored the integration of blockchain and IoT within the context of smart grid. Current REC system lacks visibility and transparency which are very critical to the success of smart grids. Conventional smart grid system makes it difficult to proof whether a buyer has truly received an energy certificate or not. Therefore, we proposed a blockchain and IoT based system for autonomous monitoring of energy sources and tracking of RECs on smart grid. Our system provides the visibility and transparency on smart grid networks that is imperative to safeguarding RECs market. Results based on extensive experiments illustrate the efficiency and scalability of our system.

scholarly journals IGNORE: A Policy Server to Prevent Cyber-Attacks from Propagating to the Physical Domain

2020 ◽  
Vol 10 (18) ◽  
pp. 6236
Author(s):  
Yatin Wadhawan ◽  
Clifford Neuman ◽  
Anas AlMajali
Keyword(s):  
Smart Grid ◽  
Physical System ◽  
Cyber Attacks ◽  
Security Policies ◽  
Grid System ◽  
Underlying Principle ◽  
Safety Property ◽  
Level Function ◽  
Safety Constraints ◽  
Smart Grid System

We present the intelligent governor for the smart grid system (IGNORE) to limit the success of attacks when a grid’s cyber system has been compromised and leveraged by an adversary to mount attacks on the physical system. IGNORE is based on the concept of the security reference monitor. It is a component that serves to protect a system from attacks that are more severe and frequent than is acceptable by enforcing security policies on the actions of the system’s higher-level functions. It enforces security and safety policies by ignoring commands issued by a system’s higher-level functions if by executing those commands may cause violations of its security and safety constraints. The underlying principle for generating security policies is the requirement and safety property that evaluates whether commands issued by a cyber system are required and safe in/for the physical system. Our key contribution is to present the methodology to design a governor for a grid’s higher-level function, that is, demand response. We define a set of attacks prevented by the governor, a set of rules that define the governor, and demonstrate its effectiveness through empirical results. This work sheds light upon how a higher-level functionality of a smart grid system is protected by analyzing the system’s cyber and physical aspects even when some parts of the cyber system are compromised.

scholarly journals Modeling and assessing cyber resilience of smart grid using Bayesian network-based approach: a system of systems problem

2020 ◽  
Vol 7 (3) ◽  
pp. 352-366
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Morteza Nagahi ◽  
Raed Jaradat ◽  
Chiranjibi Shah ◽  
Randy Buchanan ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Bayesian Network ◽  
Electric Power ◽  
New Technologies ◽  
System Of Systems ◽  
Cyber Attacks ◽  
Electric Power System ◽  
Grid System ◽  
Smart Grid System

Abstract Due to the widespread of new technologies, the modern electric power system has become much more complex and uncertain. The Integration of technologies in the electric power system has increased the exposure of cyber threats and correlative susceptibilities from malicious cyber-attacks. To better address these cyber risks and minimize the effects of the power system outage, this research identifies the potential causes and mitigation techniques for the smart grid (SG) and assesses the overall cyber resilience of smart grid systems using a Bayesian network approach. Bayesian network is a powerful analytical tool predominantly used in risk, reliability, and resilience assessment under uncertainty. The quantification of the model is examined, and the results are analyzed through different advanced techniques such as predictive inference reasoning and sensitivity analysis. Different scenarios have been developed and analyzed to identify critical variables that are susceptible to the cyber resilience of a smart grid system of systems. Insight drawn from these analyses suggests that overall cyber resilience of the SG system of systems is dependent upon the status of identified factors, and more attention should be directed towards developing the countermeasures against access domain vulnerability. The research also shows the efficacy of a Bayesian network to assess and enhance the overall cyber resilience of the smart grid system of systems.

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