Security Informed Safety Assessment of NPP I&C Systems: GAP-IMECA Technique

Author(s):  
Vyacheslav S. Kharchenko ◽  
Oleg A. Illiashenko ◽  
Andriy A. Kovalenko ◽  
Vladimir V. Sklyar ◽  
Artem V. Boyarchuk

The application of complex electronic components such as systems-on-chips (including systems-on-programmable-chips using field programmable gate arrays (FPGAs)) in industrial instrumentation and control systems (I&Cs) causes risks for ensuring of safety. Nuclear power plant (NPP) I&C projects on FPGA are complex solutions which include both software and hardware components. Information security (system’s ability to protect the information and data from unauthorized access and modification) is a subordinate property with respect to safety of many I&Cs, primarily to the NPP reactor trip systems. Such hierarchy may be taken into account by implementation of security informed safety (SIS) approach. Recent events like Stuxnet or Duqu showed vulnerabilities in industrial embedded IT-Systems. In order to remove or reduce security risks, which could increase overall safety risk, the holistic analytical technique are necessary. The goal of the paper is to present the technique for of SIS-based assessment of the NPP I&C systems. The proposed SIS-oriented method of NPP I&C systems assessment includes the models and techniques. To decrease the risk of manual errors, the tool for the SIS-oriented assessment automation is described. The tool is based on joint use of abovementioned models and techniques, is proposed. The tool allows conducting the joint use of the following analysis techniques: GAP and IMECA.

Author(s):  
Andriy Kovalenko ◽  
Oleksandr Siora ◽  
Anton Andrashov

The chapter discusses the importance of assessment of interference degree for various attributes of safety-critical instrumentation and control (I&C) systems and proposes applicable metrics. An approach to analysis of safety-critical I&C systems is presented. Such approach relies on performance of gap analysis and consideration of influence of human, technique, and tool. The approach is applicable to cyber security assessment for various safety-critical I&C systems, including complex instrumentation and control systems and field-programmable gate arrays (FPGA)-based systems.


2016 ◽  
Vol 2 (4) ◽  
Author(s):  
Phillip McNelles ◽  
Lixuan Lu

Field-programmable gate arrays (FPGAs) have recently garnered significant interest for certain applications within the nuclear field including instrumentation and control (I&C) systems, pulse measurement systems, particle detectors, and health physics. In CANada Deuterium Uranium (CANDU) nuclear power plants, the use of heavy water (D2O) as the moderator leads to increased production of tritium, which poses a health risk and must be monitored by tritium-in-air monitors (TAMs). Traditional TAMs are mostly designed using microprocessors. More recent studies show that FPGAs could be a potential alternative to implement the electronic logic used in radiation detectors, such as the TAM, more effectively. In this paper, an FPGA-based TAM is designed and constructed in a laboratory setting using an FPGA-based cRIO system. New functionalities, such as the detection of carbon-14 and the addition of noble-gas compensation, are incorporated into a new FPGA-based TAM along with the standard functions included in the original microprocessor-based TAM. The effectiveness of the new design is demonstrated through simulations as well as laboratory testing on the prototype system. Potential issues caused by radiation interactions with the FPGA are beyond the scope of this work.


2005 ◽  
Vol 15 (06) ◽  
pp. 427-433 ◽  
Author(s):  
RICHARD LABIB ◽  
FRANCIS AUDETTE ◽  
ALEXANDRE FORTIN ◽  
REZA ASSADI

This paper describes an FPGA (Field Programmable Gate Arrays) implementation of a new type of neuron, the Quantron. The goal is to demonstrate the capability of current technology to closely recreate the human body's reaction to a change of temperature. This is accomplished by creating a function that adds a number of kernels at different frequencies depending on the external temperature. Once the sum of the kernels reaches a certain threshold, the artificial neural network, equivalent to its biological counterpart, "reacts" by sending a specific output signal designed to trigger a response. The various elements of each subsystem are discussed and implemented in software and hardware. The results are analyzed in terms of accuracy and efficiency compared to the biological equivalent.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.


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