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

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.

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1218
Author(s):  
Tan Duy Le ◽  
Adnan Anwar ◽  
Seng W. Loke ◽  
Razvan Beuran ◽  
Yasuo Tan

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.


2020 ◽  
Vol 7 (3) ◽  
pp. 352-366
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Morteza Nagahi ◽  
Raed Jaradat ◽  
Chiranjibi Shah ◽  
Randy Buchanan ◽  
...  

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.


Author(s):  
Ilhami Colak ◽  
Heinz Wilkening ◽  
Gianluca Fulli ◽  
Julija Vasiljevska ◽  
Fatih Issi ◽  
...  

Energies ◽  
2013 ◽  
Vol 6 (12) ◽  
pp. 6608-6635 ◽  
Author(s):  
Naveed Hassan ◽  
Muhammad Pasha ◽  
Chau Yuen ◽  
Shisheng Huang ◽  
Xiumin Wang

2020 ◽  
Vol 6 ◽  
pp. 1432-1442
Author(s):  
Amam Hossain Bagdadee ◽  
Muhammad Aurangzeb ◽  
Sajid Ali ◽  
Li Zhang

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