Advancing Cybersecurity for Digital Transformation

2021 ◽  
pp. 1-17
Author(s):  
Kamaljeet Sandhu
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Business Process ◽  
Case Analysis ◽  
Identity Theft ◽  
Digital Transformation ◽  
Public Utilities ◽  
The Internet ◽  
Confidential Information ◽  
Scale Size

Advancing cybersecurity for digital transformation provides opportunities and challenges. Many enterprises are accelerating the digital transformation to reach their customers, suppliers, and other parties over the internet; at the same time cybersecurity has become a serious concern. Cyberattacks have exponentially increased globally. While digital transformation makes the business process more efficient and effective, and increased cyberattacks pose obstacles, threats, and risks on the way. Cyberattacks consist of different types such as political, financial, accessing private and confidential information, ransomware, identity theft, destruction to essential infrastructure and public utilities such as energy, water, telecommunication, transportation, health, and others. This chapter presents case analysis from recent cyberattacks to show the scale, size, and type of impacts within and outside the enterprise. Newer technologies to counter cyberattacks are introduced such as quantum computing, nanotechnologies, artificial intelligence, blockchain that have the capabilities to eliminate cyberattacks.

scholarly journals Strategic development of scientific and technical potential of industry during the digital transformation of economy

2021 ◽  
Vol 14 (4) ◽  
pp. 410-417
Author(s):  
T. O. Tolstykh ◽  
S. E. Afonin
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
The Internet ◽  
Strategic Development ◽  
Industrial Enterprises ◽  
Current State ◽  
Technical Potential ◽  
The World ◽  
The Internet Of Things

Currently the speeding up of digital transformation makes it obvious that application of digital technologies and the degree of involvement into digital transformation is an essential and significant aspect of scientific and technical potential of an industrial enterprise. The article is devoted to the analysis of trends and prospects of development of basic technologies which are the basis for digital transformation of the world economics: the Internet of things, artificial intelligence, robotization and technologies of the big data processing. The authors present the assessment of the current state of digitalization for Russian industrial enterprises by analyzing the data on the implementation of the above mentioned technologies in business-process.

scholarly journals Digital Transformation of World Finance

2020 ◽  
Author(s):  
Darina Saxunova ◽  
Corlise Liesl Le Roux
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Capital Flows ◽  
Banking Industry ◽  
Financial Institution ◽  
Banking System ◽  
Digital Transformation ◽  
Third Party ◽  
Future Success ◽  
Advanced Visualization

The boundary between the physical and a virtual world is not clearly visible nowadays, the 4.0 industry utilizes artificial intelligence, distributed ledger technology, quantum computing, advanced visualization and other advanced technologies. The surge of capital flows in financial technology is visible wherever we look. Classical businesses face a challenge to connect and create partners with the companies that are technology savvy because this may impact their future success. The strategy for digital business must be thought over very thoroughly since it represents the success threshold in contemporary digital environment. The classic banking system faces the threat or opportunity of an open banking system and banks are forced to be prepared to offer next generation services benefiting from third party channels. The short history on the banking industry including digital banking along, with fintech as a financial institution showing its power to compete sophistically, will shift the studied digital transformation phenomenon into a dilemma whether we indeed face a cashless society challenge, whether the governments should start to accelerate their decisions on Central Bank Digitalized Currency – CBDC or how far several countries already are to become a cashless society. At last, potential security, trust and fraud issues will close this chapter.

Advancing Artificial Intelligence-Enabled Cybersecurity for the Internet of Things

2021 ◽  
pp. 118-143
Author(s):  
Alper Kamil Demir ◽  
Shahid Alam
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Leading Edge ◽  
Digital Transformation ◽  
The Internet ◽  
New Wave ◽  
Transportation Energy ◽  
Different Types ◽  
Iot Devices ◽  
The Internet Of Things

Internet of things (IoT) has revolutionized digital transformation and is present in every sector including transportation, energy, retail, healthcare, agriculture, etc. While stepping into the new digital transformation, these sectors must contemplate the risks involved. The new wave of cyberattacks against IoT is posing a severe impediment in adopting this leading-edge technology. Artificial intelligence (AI) is playing a key role in preventing and mitigating some of the effects of these cyberattacks. This chapter discusses different types of threats and attacks against IoT devices and how AI is enabling the detection and prevention of these cyberattacks. It also presents some challenges faced by AI-enabled detection and prevention and provides some solutions and recommendations to these challenges. The authors believe that this chapter provides a favorable basis for the readers who intend to know more about AI-enabled technologies to detect and prevent cyberattacks against IoT and the motivation to advance the current research in this area.

Prospects for digitalization of the environmental monitoring system

2021 ◽  
Author(s):  
M.A. Viderker ◽  
E.V. Rassadina
Keyword(s):  
Artificial Intelligence ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Nature Management ◽  
The Internet ◽  
Advanced Technologies ◽  
Environmental Monitoring System ◽  
The Internet Of Things

Currently, digitalization affects various sectors of the economy. The state plays a significant role in regulating digitalization. Digital transformation opens up great prospects for the ecology and nature management industry. The main advanced technologies that will allow the industry to reach a qualitatively new level are big data, the Internet of Things and artificial intelligence. The introduction of digital technologies and platform solutions into an integrated environmental monitoring system will allow to quickly carry out integrated collection, processing and analysis of data, forecasting and management decisions on environmental protection issues, and ensure the openness of data and decisions made. Key words: digital technologies, digitalization, digital economy, ecology, nature management, environmental monitoring.

scholarly journals USE OF DIGITAL TECHNOLOGIES IN THE POWER INDUSTRY

2022 ◽  
Vol 1 (15) ◽  
pp. 59-62
Author(s):  
Yuriy Konovalov ◽  
Maksim Leb
Keyword(s):  
Artificial Intelligence ◽  
Electric Power ◽  
Digital Technologies ◽  
Electric Power Industry ◽  
Power Industry ◽  
Digital Transformation ◽  
The Internet ◽  
Energy Companies ◽  
Modern Technologies

The tasks of digital transformation of the electric power industry, the introduction of modern technologies of artificial intelligence and the Internet of energy by energy companies are con-sidered

scholarly journals Digital Transformation and New Methods of Sociological Research

2021 ◽  
Author(s):  
Nataliya N. Meshcheryakova ◽  
Elena N. Rogotneva
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
New Technologies ◽  
Survey Methods ◽  
Digital Transformation ◽  
The Internet ◽  
Sociological Research ◽  
The Social ◽  
Search For Information

Today, digital transformation assists us to search for information on the Internet, to digitize data, to store and broadcast it conveniently; however, digital transformation changes not only the quality of technologies, but also the social reality, the structure of society, the ways of social interactions, the social actor, and research methods. Four breakthrough technologies — cloud computing, big data, artificial intelligence, and the Internet of things — determine the direction of these changes. The question is how sociology may use these technologies for its own purposes. In this paper, the outdated approaches of authorities are considered in relation to the monitoring criteria they use to evaluate their activities. We emphasize the potential to obtain representative data by using traditional survey methods. Nevertheless, changes in the socio-psychological characteristics of respondents actualize the transition from mass surveys to big data analysis and force us to replace directly posed questions with the indirect confirmation of hypotheses. The new technologies open greater opportunities for building correlations, identifying hidden patterns, and making predictions than it was possible till now. Thus, we need scientifically based coherent patterns across individual factors in order not to see cause-and-effect relationships in random matches. Research community has to develop these patterns. Keywords: Digital Transformation, Big Data, Cloud Computing, Artificial Intelligence, the methods of sociological research

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

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