A hypergraph based Kohonen map for detecting intrusions over cyber–physical systems traffic

Jagtap, Sujeet S.; Sriram, V. S. Shankar; Subramaniyaswamy, V.

doi:10.1016/j.future.2021.02.001

Cited by 22 publications

(6 citation statements)

References 36 publications

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“…The SOFM network used is part of an ANN group called networks based on competitive learning models in which the output neurons of the grid compete with each other to be activated, and are mainly used to visualize clusters. 40 According to Link et al, 24 once the network has been initialized, there are three essential processes involved in its formation: competition, cooperation, and synaptic adaptation. The basic principle of the SOFM map is that it represents high-dimensional input vectors in a lowerdimensional 2D topology in an unsupervised way.…”

Section: Resultsmentioning

confidence: 99%

“…Network neurons calculate their respective Euclidean distance values, and these values provide the basis for competition between them. 24,40,41 The neuron with the shortest Euclidean distance is declared the winner, that is, the one that best meets the stimulus provided by the input vector. 42 In a cluster-type neural network, neurons are connected by directed and weighted edges.…”

Section: Resultsmentioning

confidence: 99%

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Mathematical Mapping Study of Synthetic Antioxidants Behavior in Biodiesel: Application of the Self-Organized Feature Map (SOFM) and Multilayer Perceptron (MLP)

Clemente¹,

Silva²,

Campos³

et al. 2023

J. Braz. Chem. Soc.

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The objective of the present work was to apply self-organizing feature maps (SOFM) and multilayer perceptron (MLP) to evaluate the protective capacity of tert-butylhydroquinone (TBHQ), butylhydroxyanisole (BHA), and butylhydroxytoluene (BHT) antioxidants against the biodiesel oxidation reaction. For this, the antioxidant concentration and the biodiesel compliance parameters were used as continuous input variables and the type of antioxidant as a categorical. The SOFM proved to be an adequate tool for the classification of biodiesel samples containing antioxidants. The performance of the 5 most active networks of the model ranged from 89 to 99% for training, testing, and validation with an error below 1.42 × 10-4. Statistical tests applied to validate the model showed no significant difference between predicted and experimental values. The global sensitivity analysis showed that the relative protection factor (RPF) contributed with 34.89%, the antioxidant with 31.49%, the induction period with 10.69%, the water content with 6.00%, and the others all together with 16.93% in the construction of the regression models by MLP.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Mathematical Mapping Study of Synthetic Antioxidants Behavior in Biodiesel: Application of the Self-Organized Feature Map (SOFM) and Multilayer Perceptron (MLP)

Clemente¹,

Silva²,

Campos³

et al. 2023

J. Braz. Chem. Soc.

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“…Detection of current threats, data anomalies and malware (Cascavilla et al, 2021), (Sadik et al, 2020), (Lee and Lim, 2016), (Gonzalez-Granadillo et al, 2018), (Catak et al, 2021), (Jagtap et al, 2021), (Ma et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

The stability of State information in the face of terrorist threats

et al. 2021

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The objective of the study is to identify the key factors of the stability of state information in the face of terrorist threats based on the review of existing research in this area, and to identify the main approaches to ensure the stability of state information in the face of terrorist threats. Based on the analysis of scientific works, the factors of the state's resistance to cyberterrorism are identified and the main approaches are organized to ensure the stability of state information in the face of terrorist threats. The results of the study provide an understanding of the key factors needed to achieve the legal, technical, organizational, and operational areas of state resilience to cyber threats. Further research may aim to perform empirical calculations of indicators from around the world to determine certain dependencies in the field of cybersecurity. It is concluded that factors such as the growing impact of information and communication technologies on public relations, production activities, the operation of infrastructure facilities and the activities of public authorities, indicate that the issue of security as a line of scientific research is urgent.

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“…Nowadays, legislative fit and data security is also an issue of the analysis of cyber security. In the times of Internet of Things, when all machines are connected between themselves using the Internet [134][135][136][137][138], cyber security is a very important issue for the continued assurance of the development of production processes.…”

Section: Discussionmentioning

confidence: 99%

Digitalisation and Innovation in the Steel Industry in Poland—Selected Tools of ICT in an Analysis of Statistical Data and a Case Study

Gajdzik

Wolniak

2021

Energies

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Digital technologies enable companies to build cyber-physical systems (CPS) in Industry 4.0. In the increasingly popular concept of Industry 4.0, an important research topic is the application of digital technology in industry, and in particular in specific industry sectors. The aim of this paper is to present the tools used in the steel industry in Poland on its way to the full digitalisation that is needed for the development of Industry 4.0. The paper consists of two parts: a literature review and a practical analysis. The paper provides the background information about digitalisation using digital tools in the steel industry in Poland. The paper was prepared based on secondary information and statistical data. The object of the research is the Polish steel sector. This study assumes that digitalisation is the main area of innovation in the steel industry. The digitalisation determines the creation of new or modified products, processes, techniques and expansion of the company’s infrastructure; therefore, the data on digital technology were supplemented with data on the innovativeness of the Polish steel sector. The results of this study provide managers with valuable information to understand the importance of full digitalisation and the need to focus on digital strategies. Such insights can be used to improve companies’ processing capabilities and produce better products, which is key to innovation.

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A hypergraph based Kohonen map for detecting intrusions over cyber–physical systems traffic

Cited by 22 publications

References 36 publications

Mathematical Mapping Study of Synthetic Antioxidants Behavior in Biodiesel: Application of the Self-Organized Feature Map (SOFM) and Multilayer Perceptron (MLP)

Mathematical Mapping Study of Synthetic Antioxidants Behavior in Biodiesel: Application of the Self-Organized Feature Map (SOFM) and Multilayer Perceptron (MLP)

The stability of State information in the face of terrorist threats

Digitalisation and Innovation in the Steel Industry in Poland—Selected Tools of ICT in an Analysis of Statistical Data and a Case Study

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