scholarly journals Intelligent Cybersecurity Services and Management: Concepts, AI-based Modeling, Research Issues and Directions

2020 ◽  
Author(s):  
Iqbal H. Sarker
Keyword(s):  
Language Processing ◽  
Industrial Revolution ◽  
Cyber Attacks ◽  
Point Of View ◽  
Future Directions ◽  
Research Issues ◽  
Fourth Industrial Revolution ◽  
Management Concepts ◽  
Intelligence Modeling ◽  
Security Modeling

Abstract Artificial intelligence (AI) is one of the major technologies in this Fourth Industrial Revolution, which aims to function in an intelligent manner in various application domains, e.g., intelligent cybersecurity management. Popular AI techniques that include machine learning and deep learning methods, natural language processing, the concept of knowledge representation, and knowledge or rule-based expert systems, can be used to intelligently tackle today's diverse cybersecurity problems according to the needs. Based on these AI techniques, in this paper, we aim to present a comprehensive view on \textit{AI-driven cybersecurity} in terms of concepts, extracting security insights, and eventually security intelligence modeling that can play significant role to solve various cybersecurity tasks such as identifying malicious activities, predicting cyber-attacks, access control, intrusions or anomaly detection etc. Thus, the concept of AI-based security modeling could make the cybersecurity computing process more intelligent and automated than the traditional ones. Based on our study, finally, we highlight several \textit{research issues and future directions} within the area of AI-driven cybersecurity. Overall, the ultimate goal of this paper is to serve as a reference point and guidelines for the cybersecurity professionals as well as the researchers in this work domain, particularly from the technical point of view.

scholarly journals AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

2021 ◽  
Author(s):  
Iqbal H. Sarker
Keyword(s):  
Language Processing ◽  
Industrial Revolution ◽  
Point Of View ◽  
Future Research ◽  
Knowledge Representation And Reasoning ◽  
Security Systems ◽  
Research Directions ◽  
Intelligence Modeling ◽  
Ultimate Objective ◽  
Industry Professionals

Artificial Intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (Industry 4.0), which can be used for the protection of Internet-connected systems from cyber-threats, attacks, damage, or unauthorized access. To intelligently solve today's various cybersecurity issues, popular AI techniques involving Machine Learning (ML) and Deep Learning (DL) methods, the concept of Natural Language Processing (NLP), Knowledge Representation and Reasoning (KRR), as well as the concept of knowledge or rule-based Expert Systems (ES) modeling can be used. Based on these AI methods, in this paper, we present a comprehensive view on "AI-driven Cybersecurity" that can play an important role for intelligent cybersecurity services and management. The security intelligence modeling based on such AI methods can make the cybersecurity computing process automated and intelligent than the conventional security systems. We also highlight several research directions within the scope of our study, which can help researchers do future research in the area. Overall, this paper's ultimate objective is to serve as a reference point and guidelines for cybersecurity researchers as well as industry professionals in the area, especially from an AI-based technical point of view.

The Need for Speed – Technological Acceleration and Inevitabilism in Recent Danish Digitalization Policy Papers

SATS ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 27-48
Author(s):  
Mads Vestergaard
Keyword(s):  
Empirical Analysis ◽  
Industrial Revolution ◽  
Technological Development ◽  
Point Of View ◽  
Technological Determinism ◽  
Economic Values ◽  
Fourth Industrial Revolution ◽  
Sociotechnical Imaginaries ◽  
Official Policy ◽  
The Empirical Analysis

Abstract The article explores whether sociotechnical imaginaries of digitalization as inevitable accelerating development can be traced in Denmark’s official policy papers concerning digitalization 2015–2020. It identifies imperatives of speed, acceleration and agility equal to what has been described as a corporate data imaginary as well as tropes of an imaginary of the fourth industrial revolution and inevitable exponential technological development and disruption. The empirical analysis discovers a shift in the studied period mid-2018, before which inevitabilism is prominent and after which the focus on non-economic values increases and the aim of influencing the development, instead of adapting to it, emerges. The article then addresses how imperatives of acceleration and narratives of inevitabilism may be considered problematic from a democratic point of view employing Hartmut Rosa’s critical diagnosis of the acceleration society and the notion of discursive closure. Finally, it discusses the empirical findings in light of technological determinism and constructivism inherent in the notion of sociotechnical imaginaries and introduces a sociotechnical selectionist theory allowing both for human agency in technological development while also providing a mechanism for explaining the emergence of law-like technological trends, as Moore’s Law, at macro level.

Natural Language Processing

1996 ◽  
Vol 16 ◽  
pp. 70-85 ◽  
Author(s):  
Thomas C. Rindflesch
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Computational Linguistics ◽  
Language Processing ◽  
Domain Knowledge ◽  
The State ◽  
Point Of View ◽  
Computer Applications ◽  
Significant Progress ◽  
Future Directions

Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understanding of natural language has not been commensurate with progress in other computer applications. Recently, a number of prominent researchers in natural language processing met to assess the state of the discipline and discuss future directions (Bates and Weischedel 1993). The consensus of this meeting was that increased attention to large amounts of lexical and domain knowledge was essential for significant progress, and current research efforts in the field reflect this point of view.

scholarly journals Social Expectations and Market Changes in the Context of Developing the Industry 4.0 Concept

2020 ◽  
Vol 12 (4) ◽  
pp. 1362 ◽  
Author(s):  
Sebastian Saniuk ◽  
Sandra Grabowska ◽  
Bożena Gajdzik
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Research Area ◽  
Point Of View ◽  
Social Expectations ◽  
Literature Study ◽  
Fourth Industrial Revolution ◽  
Consumer Segment ◽  
Simple Change ◽  
Business Practitioners

There are more and more talks in the community of scientists and business practitioners about new challenges for industry in connection with the fourth industrial revolution. Industry 4.0 is the result of the development of cyber-physical generation systems as part of the fourth industrial revolution. Industry 4.0 sets new areas of change in the sphere of production and management but also exerts an impact on various aspects of society’s life. It is a transformational challenge for enterprises of the present age. Industry 4.0 is present in economic studies at the macroeconomic level and business at the microeconomic level. Scientists discuss the essence of change, and specialized research centers and consulting companies carry out research on various aspects of this industrial revolution. The article presents the range of expectations and changes in society towards the development of the concept of Industry 4.0. The work was based on a literature study and direct research in the field of social change in the Industry 4.0 era. The aim of the article is to identify social expectations of development changes related to the implementation of the Industry 4.0 concept. The article devotes a lot of attention to customization because it is one of the keys of Industry 4.0, leading to a change of the paradigm from mass production to personalized production. This simple change will affect customers, producers, and employees. Based on the synthesis of literature and secondary research, authors identify opportunities and threats to the broadly understood society functioning in the Industry 4.0 environment. Social conditions were analyzed from the point of view of the consumer, producer, and employee. In the cited direct studies, the basic area of analysis was product personalization and pre-recognition of the opinions of potential consumers about customization in Industry 4.0. The limitation of the research area to the consumer segment resulted from the importance of product personalization in Industry 4.0 and its impact on producer behavior and effects for employees.

A Generic Self-Evolving Multi-Agent Defense Approach Against Cyber Attacks

2019 ◽  
pp. 210-226
Author(s):  
Stephen Mugisha Akandwanaho ◽  
Irene Govender
Keyword(s):  
Industrial Revolution ◽  
Cyber Attacks ◽  
Multiple Agents ◽  
Low Level ◽  
Single Interface ◽  
Cyber Threats ◽  
Fourth Industrial Revolution ◽  
Multi Agent

A generic self-evolving multi-agent approach is proposed in this chapter. Most of the existing security approaches are custom designed for specific threats and attacks. However, the fusion of technologies and systems in the fourth industrial revolution and therefore the nature of its current cyber environment increasingly attracts multiple cyber threats in a single interface. In order to solve this problem, a generic self-evolving multi-agent approach is proposed. Multiple agents interact with each other in light of their reactions towards the environment and its inherent changes. Information from individual agents is collected and integrated to form the abstract compartment of the structure. The important aspects are analyzed including demonstrating how the abstract domain can be obtained from the custom interactions at the low-level domain of the proposed approach. The analysis explores the existing works in the area and how they have been advanced in the fourth industrial revolution.

Professional Development of Mathematics Teachers in the Age of I4.0

2021 ◽  
pp. 1-30
Author(s):  
Maria Guida
Keyword(s):  
Mathematics Education ◽  
Mathematics Teachers ◽  
Double Point ◽  
Industrial Revolution ◽  
Point Of View ◽  
Fourth Industrial Revolution ◽  
Special Quality ◽  
Different Cultures ◽  
The Internet Of Things

The 21st century has witnessed the development of the fourth industrial revolution that means cutting-edge technologies including artificial intelligence and the internet of things. The special quality of this epochal revolution lies in a rapid acceleration of the speed of change, never seen before. This is happening at the most challenging time ever faced by our species, due to existential threats. This scenario begs big questions to professionals in the field of mathematics education. Can mathematics education contribute to build a better world? The chapter reports on a participatory research conducted by a researcher in mathematics education together with 11 mathematics teachers. Therefore, the research benefits from a double point of view, coming from different cultures so gaining a double verisimilitude, which makes the results acceptable for all the professionals involved.

scholarly journals Digitalization of surfaces in micro, meso and macro applications

Mechanik ◽  
2018 ◽  
Vol 91 (11) ◽  
pp. 944-949
Author(s):  
Michał Wieczorowski
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Point Of View ◽  
Fourth Industrial Revolution

In the paper a concept of length and angle metrology in fourth industrial revolution known as Industry 4.0 was presented. Problems and conditions as well as limitations connected with measurement possibilities from devices and man point of view were shown. Scale as metrology term with its division to different ranges, i.e. macro, micro and meso were described. For each of these areas digitization and its tasks were presented.

Review of the method design and additive manufacturing of gears

2021 ◽  
Vol 70 (2) ◽  
pp. 15-34
Author(s):  
Jakub Łuszczek
Keyword(s):  
Additive Manufacturing ◽  
Industrial Revolution ◽  
Wide Spectrum ◽  
Metallic Materials ◽  
Geometric Accuracy ◽  
Future Directions ◽  
Gear Design ◽  
Fourth Industrial Revolution ◽  
Main Components ◽  
Manufacturing Technologies

Additive manufacturing technology is one of the main components of the fourth industrial revolution known as Industry 4.0. Over the last decades, the increase in the dynamics of the development of this technology manifests itself in the form of a wide spectrum of implementations of the methods in the production processes of many elements. This paper presents the latest achievements in the production of gears where the additive technologies have been applied with the use of polymers and metallic materials. The most frequently used methods in this field were indicated, as well as problems related to geometric accuracy or fatigue life of elements manufactured with the use of the methods mentioned. In addition, future directions of gear design, the implementation of which was possible thanks to the use of AM, as well as the scope of research that should be undertaken in this area in the future, were defined. Keywords: mechanical engineering, manufacturing technologies, additive manufacturing, gears

A Generic Self-Evolving Multi-Agent Defense Approach Against Cyber Attacks

2018 ◽  
pp. 165-181
Author(s):  
Stephen Mugisha Akandwanaho ◽  
Irene Govender
Keyword(s):  
Industrial Revolution ◽  
Cyber Attacks ◽  
Multiple Agents ◽  
Low Level ◽  
Single Interface ◽  
Cyber Threats ◽  
Fourth Industrial Revolution ◽  
Multi Agent

A generic self-evolving multi-agent approach is proposed in this chapter. Most of the existing security approaches are custom designed for specific threats and attacks. However, the fusion of technologies and systems in the fourth industrial revolution and therefore the nature of its current cyber environment increasingly attracts multiple cyber threats in a single interface. In order to solve this problem, a generic self-evolving multi-agent approach is proposed. Multiple agents interact with each other in light of their reactions towards the environment and its inherent changes. Information from individual agents is collected and integrated to form the abstract compartment of the structure. The important aspects are analyzed including demonstrating how the abstract domain can be obtained from the custom interactions at the low-level domain of the proposed approach. The analysis explores the existing works in the area and how they have been advanced in the fourth industrial revolution.

scholarly journals Sustainable Production Scheduling in Open Innovation Perspective under the Fourth Industrial Revolution

2018 ◽  
Vol 4 (4) ◽  
pp. 42 ◽  
Author(s):  
Sang-Oh Shim ◽  
KyungBae Park ◽  
SungYong Choi
Keyword(s):  
Production Scheduling ◽  
Open Innovation ◽  
Industrial Revolution ◽  
Scheduling Algorithm ◽  
Point Of View ◽  
Scheduling Problem ◽  
Planning And Scheduling ◽  
Real Time Scheduling ◽  
Fourth Industrial Revolution ◽  
Operation Scheduling

This research addresses a specific issue in the field of operation scheduling. Even though there are lots of researches on the field of planning and scheduling, a specific scheduling problem is introduced here. We focus on the operation scheduling requirements that the Fourth Industrial Revolution has brought currently. From the point of view of open innovation, operation scheduling is known as the one that is using the Internet of Things, Cloud Computing, Big Data, and Mobile technology. To build proper operation systems under the Fourth Industrial Revolution, it is very essential to devise effective and efficient scheduling methodology to improve product quality, customer delivery, manufacturing flexibility, cost saving, and market competence. A scheduling problem on designated parallel equipments, where some equipments are grouped according to the recipe of lots, is considered. This implies that a lot associated with a specific recipe is preferred to be processed on an equipment among predetermined (designated) ones regardless of parallel ones. A setup operation occurs between different recipes of lots. In order to minimize completion time of the last lot, a scheduling algorithm is proposed. We conducted a simulation study with randomly generated problems, and the proposed algorithm has shown desirable and better performance that can be applied in real-time scheduling.

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