scholarly journals From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

2021 ◽  
Vol 11 (17) ◽  
pp. 8117
Author(s):  
Mohammed Najah Mahdi ◽  
Abdul Rahim Ahmad ◽  
Qais Saif Qassim ◽  
Hayder Natiq ◽  
Mohammed Ahmed Subhi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Communication Networks ◽  
Digital Library ◽  
Critical Analysis ◽  
Web Of Science ◽  
Rapid Development ◽  
Energy Internet ◽  
Fifth Generation ◽  
Technological Limitations

Due to the rapid development of the fifth-generation (5G) applications, and increased demand for even faster communication networks, we expected to witness the birth of a new 6G technology within the next ten years. Many references suggested that the 6G wireless network standard may arrive around 2030. Therefore, this paper presents a critical analysis of 5G wireless networks’, significant technological limitations and reviews the anticipated challenges of the 6G communication networks. In this work, we have considered the applications of three of the highly demanding domains, namely: energy, Internet-of-Things (IoT) and machine learning. To this end, we present our vision on how the 6G communication networks should look like to support the applications of these domains. This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore. The main contribution of this work is to provide a more comprehensive perspective, challenges, requirements, and context for potential work in the 6G communication standard.

scholarly journals Amalgamation of Blockchain Technology and Internet of Things in Securing Clouds

2021 ◽  
pp. 135-145
Author(s):  
Harsh Kumar Jha ◽  
Durgesh Sahu ◽  
Dr. Mohammed Bakhtawar Ahmed
Keyword(s):  
Internet Of Things ◽  
Digital Library ◽  
Web Of Science ◽  
Focal Point ◽  
Local Area ◽  
Data Sets ◽  
Security And Protection ◽  
Blockchain Technology ◽  
Diary Research ◽  
Research Article

Blockchain Technology has gotten a great deal of consideration from both industry and the scholarly world due to its decentralized, persistency, namelessness and auditability properties. In this review, utilization of Blockchain innovation in wide applications region and its execution challenges have been finished. A thorough quest for diary/research article identified with Blockchain innovation have been checked on. We have considered five data sets to lead this study specifically Science direct, IEEE Xplore, Web of Science, ACM Digital Library and Inderscience are being utilized. After starting stage end 135 examination articles are considered in last data sets for the overview. Principle focal point of the review is to give an extensive examination on wide utilizations of Blockchain innovation for the scholastic exploration local area. In this paper difficulties in carrying out of Blockchain and its related security and protection issues have been talked about. Interestingly a study of this sort have been done where Blockchain with application and its related security and protection issue have been inspected.

scholarly journals Internet of Things Meet Internet of Threats: New Concern Cyber Security Issues of Critical Cyber Infrastructure

2021 ◽  
Vol 11 (10) ◽  
pp. 4580
Author(s):  
Amir Djenna ◽  
Saad Harous ◽  
Djamel Eddine Saidouni
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Critical Analysis ◽  
Rapid Development ◽  
Security Requirements ◽  
Critical Infrastructures ◽  
Security Issues ◽  
Cyber Threats ◽  
International Issue ◽  
The Internet Of Things

As a new area of technology, the Internet of Things (IoT) is a flagship and promising paradigm for innovating society. However, IoT-based critical infrastructures are an appealing target for cybercriminals. Such distinctive infrastructures are increasingly sensitive to cyber vulnerabilities and subject to many cyberattacks. Thus, protecting these infrastructures is a significant issue for organizations and nations. In this context, raising the cybersecurity posture of critical cyber infrastructures is an extremely urgent international issue. In addition, with the rapid development of adversarial techniques, current cyber threats have become more sophisticated, complicated, advanced and persistent. Thus, given these factors, prior to implementing efficient and resilient cybersecurity countermeasures, identification and in-depth mapping of cyber threats is an important step that is generally overlooked. Therefore, to solve cybersecurity challenges, this study presents a critical analysis of the most recent cybersecurity issues for IoT-based critical infrastructures. We then discuss potential cyber threats and cyber vulnerabilities and the main exploitation strategies adopted by cybercriminals. Further, we provide a taxonomy of cyberattacks that may affect critical cyber infrastructures. Finally, we present security requirements and some realistic recommendations to enhance cybersecurity solutions.

scholarly journals Special Issue on Energy Harvesters and Self-Powered Sensors for Smart Electronics

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1455
Author(s):  
Qiongfeng Shi ◽  
Huicong Liu
Keyword(s):  
Internet Of Things ◽  
Wireless Network ◽  
Rapid Development ◽  
The Internet ◽  
Special Issue ◽  
Energy Harvesters ◽  
Fifth Generation ◽  
Self Powered ◽  
The Internet Of Things ◽  
Smart Electronics

In recent years, we have witnessed the revolutionary innovation and flourishing advancement of the Internet of things (IoT), which will maintain a strong momentum even more with the gradual rollout of the fifth generation (5G) wireless network and the rapid development of personal healthcare electronics [...]

scholarly journals Machine Learning and Security Applications in Digital Library

2019 ◽  
Vol 9 (1) ◽  
pp. 2165-2168
Keyword(s):  
Machine Learning ◽  
Digital Library ◽  
Web Of Science ◽  
Citation Network ◽  
Review Of Literature ◽  
Security Applications ◽  
Citation Network Analysis ◽  
Machine Learning Applications ◽  
Learning Machine ◽  
Applications Of Machine Learning

This paper presents the applications of machine learning machine learning applications in the digital library. Using machine learning it is possible to search and retrieve non-textual information. The paper also discusses the machine learning applications in security aspects. A systematic review of literature is also done and with the help of citation mapping in Web of Science citation network analysis is presented

scholarly journals Machine Learning-Based Stealing Attack of the Temperature Monitoring System for the Energy Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qiong Li ◽  
Liqiang Zhang ◽  
Rui Zhou ◽  
Yaowen Xia ◽  
Wenfeng Gao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Control System ◽  
Internet Of Things ◽  
Monitoring System ◽  
Temperature Monitoring ◽  
Dynamics Simulation ◽  
Energy Output ◽  
Gradient Boosting ◽  
Energy Internet ◽  
Extreme Gradient Boosting

With the development of the Energy Internet of Things (EIoT), it is of great practical significance to study the security strategy and intelligent control system for solar thermal utilization system to optimize the operation efficiency and carry out intelligent dynamic adjustment. For buildings integrated with solar water heating systems, computational fluid dynamics simulation was used in analyzing the process of solar energy output. A method based on machine learning is proposed to predict energy conversion. Besides, the simulation and analysis are carried out in combination with the possible safety problems such as the vibration of the control system. This paper proposed a novel platform of EIoT for machine learning-based cybersecurity study and implemented the platform for the temperature monitoring system. After the evaluation of the machine learning-based cybersecurity study, the EIoT system demonstrated a high performance with the Extreme Gradient Boosting (XGBoost) training algorithm.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Comparison of publication activity level in the medical field in Ukraine and the countries of the worldActivities of higher education institutions in the technology transfer

2020 ◽  
pp. 74-83
Author(s):  
A.B. Osadcha
Keyword(s):  
Web Of Science ◽  
Rapid Development ◽  
Modern Science ◽  
Modern Society ◽  
Scientific Work ◽  
Scientific Activity ◽  
Activity Level ◽  
Publication Activity ◽  
Research Progress ◽  
Medical Field

In the context of the rapid development of scientific and technological progress in Ukraine, including the medical field, a significant contribution belongs to scientific researches based on world recognition, and publications in scientific journals indexed in international bibliometric databases, will lead to the possibility of upgrading modern science in medical higher educational institutions. The most significant in modern society is not only activity process or thought, but the result that scientific research provides. Scientific activity is difficult to evaluate with only one parameter; moreover, there is a need for evaluation using qualitative indicators. The article presents author’s research results of publication activity level in the medical field in Ukraine, taking into account world experience based on international bibliometric database Clarivate Analytics’s Web of Science. Clarivate Analytics accelerates research progress by providing researchers with reliable information sources, analytics around the world, and the ability to quickly create, defend, and commercialize new ideas. Clarivate Analytics is an independent company with more than 4000 employees working in more than 100 countries, and has a well-known brand — Web of Science. It provides access to the largest database of scientific articles from carefully selected reputable journals. Researchers can use effective search instruments that take into account metadata and bibliographic references and allow you to get the highest quality, meaningful and impartial information. Web of Science is an accurate and reliable source of information for assessing scientific work, the most comprehensive resource in which both quality and quantity are equally valued.

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