Computational Intelligence Enabled Cybersecurity for the Internet of Things

Zhao, Shanshan; Li, Shancang; Qi, Lianyong; Xu, Li Da

doi:10.1109/tetci.2019.2941757

Cited by 48 publications

(28 citation statements)

References 64 publications

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“…Bagging. In the safety fault diagnosis of industrial control systems, if a safety fault diagnosis integrated model with strong generalization ability is needed, the individual safety fault learners in the integrated model should be as independent as possible from each other [30][31][32]. However, due to the impact of the industrial control environment, it is almost impossible to achieve independence from each other in actual situations.…”

Section: Integrated Model Of Safety Fault Diagnosis Based Onmentioning

confidence: 99%

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

Zhang

Meng

et al. 2021

Security and Communication Networks

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With the rapid development of intelligent manufacturing and Industrial Internet of Things, many industrial control systems have high requirements for the security of the system itself. Failures of industrial control equipment will cause abnormal operation of industrial control equipment and waste of resources. It is very meaningful to detect and identify potential equipment abnormalities and failures in time and implement effective fault tolerance strategies. In the Industrial Internet of Things environment, the instructions and parameters of industrial control equipment often change due to changes in actual requirements. However, it is impractical to customize the learning method for each parameter value. Aiming at the problem, this paper proposes a fault diagnosis model based on ensemble learning and proposes a method of updating voting weights based on dynamic programming to assist decision-making. This method is based on Bagging strategy and combined with dynamic programming voting weight adjustment method to complete fault type prediction. Finally, this paper uses different loads as dynamic conditions; the diagnostic capability of the Bagging-based fault diagnosis integrated model in a dynamically changing industrial control system environment is verified by experiments. The fault diagnosis model of industrial control equipment based on ensemble learning effectively improves the adaptive ability of the model and makes the fault diagnosis framework truly intelligent. The voting weight adjustment method based on dynamic programming further improves the reliability of voting.

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Section: Integrated Model Of Safety Fault Diagnosis Based Onmentioning

confidence: 99%

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

Zhang

Meng

et al. 2021

Security and Communication Networks

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“…Numerous studies have attempted to explain the stylistic and linguistic properties of authors through quantitative methods, which have become more sophisticated with the availability of computationalrather than non-computationalmethods (El Bakly, Darwish & Hefny; Omar, Elghayesh & Kassem, 2019). Many studies agree that the development of computational methods has enhanced the efficiency and accuracy of stylometric studies, since computer systems have capacities for analyzing large quantities of data (Ison, 2020;Omar & Hamouda, 2020;Zhao, Li, Qi & Da Xu, 2020). Thus, "[C]omputational stylistics provides a valuable methodology in helping to answer the question, 'Who wrote it?'"…”

Section: Literature Reviewmentioning

confidence: 99%

Authorship attribution of Morsi Gameel Aziz’s lyrics: A clustering-based stylometry approach

Omar

2021

JLLS

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Numerous studies have addressed the issue of the authorship of Morsi Gameel Aziz's lyrics. These studies have traditionally been based on chronological criteria for determining the real authors of disputed lyrics. To date, there is no agreement on the real authors of these disputed lyrics. This can mainly be attributed to both selectivity and the lack of empirical evidence in such studies, raising questions about the reliability of such approaches. With the advent of machine learning systems and data mining techniques, it is now possible to process thousands of texts using replicable methods. Thus, this study seeks to address the issue of the authorship of Morsi Gameel Aziz's lyrics making use of these advances by applying a clustering-based stylometry approach. The hypothesis is that lyrics grouped or clustered together are more likely to be written by the same poet. A corpus of 1,089 lyrics was built, including all known lyrics attributed to Aziz and the lyrics of the poets thought to be the real authors of the disputed lyrics. The lyrics were clustered using the Gibbs sampling Dirichlet multinomial mixture (GSDMM) technique and were assigned to four main classes, with the 12 disputed lyrics clustered within Aziz's class. Based on this, it is clear that the GSDMM model is effective and reliable in clustering short documents in Arabic. The results of the study show that machine learning systems and stylometric authorship techniques can be used in resolving many authorship questions that remain controversial and unanswered in Arabic literature.

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“…Regarding the system development, front-end web development (HTML5, JavaScript, CSS3), algorithm deployment (Python), and back-end development (PHP) are applied to construct the proposed system. Regarding the novelty of the IDAM, this module provides a structural formulation of the automated data collection for the system development in accordance with the SOA so as to facilitate business-driven solutions, end-to-end automation, integration of operational technology and information technology (Pflaum and Gölzer 2018;Zhao et al 2020). Subsequently, it is the essential foundation about the data acquisition to the whole proposed system, without which the contributions from the proposed system in the context of perishable food e-commerce logistics could not be fully realised.…”

Section: Internet Of Things Data Acquisition Module (Idam)mentioning

confidence: 99%

Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application

Tsang

Lam

et al. 2020

International Journal of Production Research

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Computational Intelligence Enabled Cybersecurity for the Internet of Things

Cited by 48 publications

References 64 publications

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

Authorship attribution of Morsi Gameel Aziz’s lyrics: A clustering-based stylometry approach

Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application

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