Understanding the Cyber-Physical System in International Stadiums for Security in the Network from Cyber-Attacks and Adversaries using AI

Wan, Baonian; Xu, Chengwei; Mahapatra, Rajendra Prasad; Selvaraj, P.

doi:10.1007/s11277-021-08573-2

Cited by 23 publications

(14 citation statements)

References 24 publications

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“…In recent years, sports public service has been paid more and more attention, and the relevant theories of sports public service are constantly improving and developing. However, we have to admit that China's public service is still in its infancy [8]. As a part of social public service system, sports public service system is still in the stage of exploration and cognition.…”

Section: Introductionmentioning

confidence: 99%

“…The continuous upgrading of modern information technology and platform communication means also ensure that the masses can receive the necessary sports fitness information in time, make it convenient to book sports venues, meet sports partners, and participate in sports clubs. In addition, they can also provide value-added services, including monitoring and managing personal health and providing professional sports prescriptions [8,14]. In terms of the current construction process of information technology means and platforms, it is urgent for the government to increase investment, build a service system model, cooperate with the construction of "smart city" in Shanghai, create a "smart sports" model, and reflect the public sports service; give full play to the social strength of enterprises, introduce social resources targeted, adopt BOT operation and management mode, and develop more scientifically and normally.…”

Section: Introductionmentioning

confidence: 99%

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Model Construction of Urban Public Sports Service System under the Background of Information Technology

Wang

Zhang

2022

Mobile Information Systems

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The planning and construction of urban public sports are an indispensable guarantee condition for implementing the national fitness plan, further improving the national physique and health status and improving the overall quality of the Chinese nation. With the improvement of Internet technology and various information technologies, urban public sports still publish service information such as consultation and competition through traditional information channels. The distribution channel is relatively single, the degree of informatization is not high, and the level of consulting service is low. In this paper, the model construction of urban public sports service system is studied under the background of information technology. During the period of frequency 30-40, on average, 26.8% of urban residents have participated in various sports training services; during the period of frequency 50-60, 28.6% have received professional fitness guidance services; and during the period of frequency 70-80, 27.5% have participated in professional exercise planning services. Through the model of urban public sports service system built under the background of information technology, the spread range is expanded, and the fixed participants are gradually formed. In this respect, we also enjoy the “technology dividend” of the popularity of network information technology and smart phones, which makes online booking service easier for the audience to use. We should pay attention to the diversified development of public sports service subjects, provide diversified public sports services, actively understand public sports demand, and penetrate the residents’ demand expression mechanism, so as to promote the public sports service system to form a structural state of benign interaction, joint participation, and dynamic communication.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Construction of Urban Public Sports Service System under the Background of Information Technology

Wang

Zhang

2022

Mobile Information Systems

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“…For advanced stadium security systems, Wan et al (2021) proposed the AI-CPS model that can predict anomaly behavior in cyber networks [14]. Facing unconventional emergencies, Ni et al (2020) created a decision-making repository that contained existing emergency response plans (ERPs) that include many emergency response experiences.…”

Section: Related Articlesmentioning

confidence: 99%

Discussion on Risk Factors of Stadium: A Case Study of Taipei Dome Complex

Huang

Chiang

2023

Ieee Iceib 2023

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“…We have developed a fresh method of updating random sub-gossip in order to protect the pupils' privacy while they are working on their schoolwork. An explanation of the conceptual underpinnings of AI-CPS can be found in [27]. In accordance with the tenets of this methodology, you will need to construct a number of classifiers and train each one separately.…”

Section: Related Workmentioning

confidence: 99%

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

Almajed¹,

Ibrahim²,

Abualkishik³

et al. 2022

PEN

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Network integration is common in cyber-physical systems (CPS) to allow for remote access, surveillance, and analysis. They have been exposed to cyberattacks because of their integration with an insecure network. In the event of a violation in internet security, an attacker was able to interfere with the system's functions, which might result in catastrophic consequences. As a result, detecting breaches into mission-critical CPS is a top priority. Detecting assaults on CPSs, which are increasingly being targeted by cyber criminals and cyber threats, is becoming increasingly difficult. It is potential that (AI) Artificial Intelligence as well as (ML) Machine Learning will make this the worst of times, but it also has the potential to be the best of times. There are a variety of ways in which AI technology can aid in the growth and profitability of a variety of industries. Such data can be parsed using ML and AI approaches in designed to check attacks on CPSs. We present the new framework for the detection of cyberattacks, which makes use of AI and ML. We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. The features are obtained by using a technique known as Linear Discriminant Analysis (LDA). We have suggested the SFL-HMM together with HMS-ACO process as a method used for detection of the cyberattacks. A MATLAB simulation used to evaluate the new strategy, and the metrics obtained from that simulation are compared to those obtained from the older methods. According to the findings of several studies, the framework is significantly more effective than conventional methods in maintaining high levels of privacy. In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.

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Understanding the Cyber-Physical System in International Stadiums for Security in the Network from Cyber-Attacks and Adversaries using AI

Cited by 23 publications

References 24 publications

Model Construction of Urban Public Sports Service System under the Background of Information Technology

Model Construction of Urban Public Sports Service System under the Background of Information Technology

Discussion on Risk Factors of Stadium: A Case Study of Taipei Dome Complex

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

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