ANALYSIS OF PROTECTION PROTOCOLS AND RISK ASSESSMENT OF THEIR USE IN INTERNET NETWORKS

2021 ◽  
pp. 223-230
Author(s):  
Сергей Александрович Ермаков ◽  
Андрей Сергеевич Тулинов ◽  
Андрей Александрович Болгов ◽  
Валерий Константинович Власов
Keyword(s):  
Risk Assessment ◽  
Internet Of Things ◽  
Security Protocols ◽  
The Internet ◽  
Successful Implementation ◽  
Modeling Tool ◽  
Simulation Results ◽  
Internet Networks ◽  
Internet Of Things Technology ◽  
The Internet Of Things

В данной статье предлагается методика повышения защищенности сетей и конечных устройств интернета вещей от атак, направленных на нарушение конфиденциальности информации и процедуры аутентификации, за счет внедрения новых несертифицированных протоколов обеспечения безопасности и создания методического обеспечения для оценки рисков успешной реализации атак. В работе были смоделированы и проанализированы протоколы безопасности технологии интернета вещей с помощью специализированного инструмента моделирования. При использовании результатов моделирования для всех протоколов, представленных в данной работе, был посчитан риск успешной реализации атак, направленных на нарушение конфиденциальности информации и процедуры аутентификации. На основе полученных значений было выполнено сравнение протоколов безопасности. Результаты проделанной работы позволят упростить разработку и внедрение новых протоколов безопасности для технологии интернета вещей. This article proposes a method for improving the security of the networks and end devices of the Internet of Things from attacks aimed at violating the confidentiality of information and authentication procedures by introducing new uncertified security protocols and creating methodological support for assessing the risks of successful implementation of attacks. The security protocols of the Internet of Things technology were modeled and analyzed using a specialized modeling tool. When using the simulation results for all the protocols presented in this work, the risk of successful implementation of attacks aimed at violating the confidentiality of information and the authentication procedure was calculated. Based on the obtained values, a comparison of security protocols was performed. The results of this work will simplify the development and implementation of new security protocols for the Internet of Things technology.

scholarly journals Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Pete Burnap ◽  
Omar Santos
Keyword(s):  
Risk Assessment ◽  
Internet Of Things ◽  
Empirical Analysis ◽  
Quantitative Risk Assessment ◽  
The Internet ◽  
Self Assessment ◽  
Target State ◽  
Epistemological Analysis ◽  
Cyber Risk ◽  
The Internet Of Things

AbstractThe Internet-of-Things (IoT) triggers data protection questions and new types of cyber risks. Cyber risk regulations for the IoT, however, are still in their infancy. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. At present, there are no self-assessment methods for quantifying IoT cyber risk posture. It is considered that IoT represent a complex system with too many uncontrollable risk states for quantitative risk assessment. To enable quantitative risk assessment of uncontrollable risk states in complex and coupled IoT systems, a new epistemological equation is designed and tested though comparative and empirical analysis. The comparative analysis is conducted on national digital strategies, followed by an empirical analysis of cyber risk assessment approaches. The results from the analysis present the current and a target state for IoT systems, followed by a transformation roadmap, describing how IoT systems can achieve the target state with a new epistemological analysis model. The new epistemological analysis approach enables the assessment of uncontrollable risk states in complex IoT systems—which begin to resemble artificial intelligence—and can be used for a quantitative self-assessment of IoT cyber risk posture.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

The Correlation Between the Development of IoT Robot Technology and the Effect of Economic Development

2021 ◽  
Author(s):  
Haiting Huang
Keyword(s):  
Economic Development ◽  
Internet Of Things ◽  
System Structure ◽  
Ultra Wideband ◽  
The Internet ◽  
Intelligent Robot ◽  
Traditional Technology ◽  
Robot Technology ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.

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