Abstract
Energy infrastructure is well thought-out to be one of the complex infrastructures due to its convoluted configuration and automatic control among all of the systems. With such systems, various connections are made for the purpose of configurations. The energy system infrastructure aims to analytically evaluate each element of the system based on fundamental energy branches according to the customer demand. Developing a novel critical evaluation approach for complex energy infrastructure is pertinent to the evaluation of mixed energy system infrastructure. Considering the functional relationships between elements and their infrastructures, a system is needed to overcome the limitations of the current systems. By doing the efficient modeling of enhancing the performance infrastructure of critical energy infrastructure enable better quantitative evaluation of system. The purpose of the proposed study is to develop an evaluation approach for enhancing the performance of critical energy infrastructure. With the help of the proposed approach, efficient multifeature model for enhancing the performance of critical energy infrastructure was experimentally calculated. The experimental setup of the proposed study was done in the Super Decision tool for an efficient multifeature model for enhancing the performance. Results of the experiments reveal the effectiveness of the proposed research.
Highlights
Humans have become increasingly reliant on the computer infrastructure networks that support our everyday lives. e information technology that underpins such infrastructures has made the society more complex, effective, and efficient while making it more vulnerable to cyber threats [1]
It is crucial to obtain detailed modelling results when taking into account a wide range of input data and the latency time between critical energy infrastructure components and cloud infrastructure components
Generation models of topology such as small-world, random graph, and scale-free models were investigated. e model of scale-free graph social network theory was discovered to be followed by the WSEE method [19]. e key characteristics of progressive communication model pointed at improving the security of critical energy assets from man-made attacks or natural disasters were identified
Summary
Humans have become increasingly reliant on the computer infrastructure networks that support our everyday lives (including electricity grids, pipelines, transportation systems/thoroughfares, and equipment). e information technology that underpins such infrastructures has made the society more complex, effective, and efficient while making it more vulnerable to cyber threats [1]. The future advancement of CEI is dependent on specific measures pertaining to the implementation of modern information technology (IT), including various styles and models of cloud systems into the domain of network infrastructure [7]. E following are the contributions of the proposed study: (1) To identify multifeature model for improving the performance of critical energy infrastructure
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