Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies:
"Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and contr...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey PA, USA
IGI Global
[2023]
|
Schriftenreihe: | Advances in Information Security, Privacy, and Ethics (AISPE)
|
Schlagworte: | |
Online-Zugang: | DE-83 DE-91 DE-706 DE-898 DE-1050 URL des Erstveröffentlichers |
Zusammenfassung: | "Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology.The handbook of research on data science and cybersecurity innovations in industry 4.0 technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students."-- |
Beschreibung: | 1 Online-Ressource (xxviii, 620 Seiten) Illustrationen, Diagramme |
ISBN: | 9781668481479 |
DOI: | 10.4018/978-1-6684-8145-5 |
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245 | 1 | 0 | |a Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies |c Thangavel Murugan, Nirmala E. |
246 | 1 | 3 | |a Research on data science and cybersecurity innovations in industry 4.0 technologies |
264 | 1 | |a Hershey PA, USA |b IGI Global |c [2023] | |
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505 | 8 | |a Section 1. Data science innovations in industry 4.0. Chapter 1. Application of artificial intelligence and data science across domains: a perspective study ; Chapter 2. Artificial intelligence impacts on industry 4.0: a literature-based study ; Chapter 3. Solutions for software requirement risks using artificial intelligence techniques ; Chapter 4. Identifying the different categories of IR4.0 technology usage clusters amongst Brunei Darussalam's MSMEs using K-means approach ; Chapter 5. Smart education system initiatives to support data science and industry 4.0 ; Chapter 6. Analysis of campus recruitment data and career counseling in the engineering sector: engineering career guidance by data exploration ; Chapter 7. Identification of student groups for smart tutoring and collaborative learning based on online activities using neural networks ; Chapter 8. Bibliometric review on industry 4.0 in various sites: online blogs and YouTube ; Chapter 9. | |
505 | 8 | |a A comprehensive survey on information diffusion models for social media text: social media analytics ; Chapter 10. An automated text summarization and machine learning-based framework for heart disease prediction ; Chapter 11. Innovative applications of data science: NLP in travel and tourism industries ; Chapter 12. Enhancing automatic speech recognition and speech translation using Google Translate ; Chapter 13. Flood prediction and recommendation system -- | |
505 | 8 | |a Section 2. Cybersecurity innovations in industry 4.0. Chapter 14. Exploring the ethereum blockchain: an introduction to blockchain technology ; Chapter 15. Charity management using blockchain technology ; Chapter 16. Privacy and security through blockchain in industry 4.0: an industrial cybersecurity perspective ; Chapter 17. Securing advanced metering infrastructure using blockchain for energy trade ; Chapter 18. Some insights of cyber physical systems in the context of the tourism and travel industry: a blockchain-based smart framework for smart services ; Chapter 19. Empirical study on cyber-crime and cyber terrorism ; Chapter 20. Cyberbullying: the panorama for prevention and overcoming cyberbullying ; Chapter 21. Data breach in the healthcare system: enhancing data security -- | |
505 | 8 | |a Section 3. Industry 4.0 technologies. Chapter 22. Introduction to augmented reality ; Chapter 23. Internet of things: architectures, applications, and challenges ; Chapter 24. Internet of things in the 5G ecosystem and beyond 5G networks ; Chapter 25. Applications of artificial intelligence in IoT ; Chapter 26. Smart precision agriculture using IoT and WSN ; Chapter 27. Architecture and framework for interfacing cloud-enabled robots | |
520 | |a "Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology.The handbook of research on data science and cybersecurity innovations in industry 4.0 technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students."-- | ||
650 | 4 | |a Industry 4.0 / Security measures / Handbooks, manuals, etc | |
650 | 4 | |a Computer security / Handbooks, manuals, etc | |
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contents | Section 1. Data science innovations in industry 4.0. Chapter 1. Application of artificial intelligence and data science across domains: a perspective study ; Chapter 2. Artificial intelligence impacts on industry 4.0: a literature-based study ; Chapter 3. Solutions for software requirement risks using artificial intelligence techniques ; Chapter 4. Identifying the different categories of IR4.0 technology usage clusters amongst Brunei Darussalam's MSMEs using K-means approach ; Chapter 5. Smart education system initiatives to support data science and industry 4.0 ; Chapter 6. Analysis of campus recruitment data and career counseling in the engineering sector: engineering career guidance by data exploration ; Chapter 7. Identification of student groups for smart tutoring and collaborative learning based on online activities using neural networks ; Chapter 8. Bibliometric review on industry 4.0 in various sites: online blogs and YouTube ; Chapter 9. A comprehensive survey on information diffusion models for social media text: social media analytics ; Chapter 10. An automated text summarization and machine learning-based framework for heart disease prediction ; Chapter 11. Innovative applications of data science: NLP in travel and tourism industries ; Chapter 12. Enhancing automatic speech recognition and speech translation using Google Translate ; Chapter 13. Flood prediction and recommendation system -- Section 2. Cybersecurity innovations in industry 4.0. Chapter 14. Exploring the ethereum blockchain: an introduction to blockchain technology ; Chapter 15. Charity management using blockchain technology ; Chapter 16. Privacy and security through blockchain in industry 4.0: an industrial cybersecurity perspective ; Chapter 17. Securing advanced metering infrastructure using blockchain for energy trade ; Chapter 18. Some insights of cyber physical systems in the context of the tourism and travel industry: a blockchain-based smart framework for smart services ; Chapter 19. Empirical study on cyber-crime and cyber terrorism ; Chapter 20. Cyberbullying: the panorama for prevention and overcoming cyberbullying ; Chapter 21. Data breach in the healthcare system: enhancing data security -- Section 3. Industry 4.0 technologies. Chapter 22. Introduction to augmented reality ; Chapter 23. Internet of things: architectures, applications, and challenges ; Chapter 24. Internet of things in the 5G ecosystem and beyond 5G networks ; Chapter 25. Applications of artificial intelligence in IoT ; Chapter 26. Smart precision agriculture using IoT and WSN ; Chapter 27. Architecture and framework for interfacing cloud-enabled robots |
ctrlnum | (ZDB-98-IGB)9781668481479 (OCoLC)1403383869 (DE-599)BVBBV049353212 |
discipline | Informatik Wirtschaftswissenschaften |
discipline_str_mv | Informatik Wirtschaftswissenschaften |
doi_str_mv | 10.4018/978-1-6684-8145-5 |
format | Electronic eBook |
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illustrated | Illustrated |
index_date | 2024-07-03T22:50:28Z |
indexdate | 2024-12-17T19:01:36Z |
institution | BVB |
isbn | 9781668481479 |
language | English |
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spelling | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies Thangavel Murugan, Nirmala E. Research on data science and cybersecurity innovations in industry 4.0 technologies Hershey PA, USA IGI Global [2023] 1 Online-Ressource (xxviii, 620 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in Information Security, Privacy, and Ethics (AISPE) Section 1. Data science innovations in industry 4.0. Chapter 1. Application of artificial intelligence and data science across domains: a perspective study ; Chapter 2. Artificial intelligence impacts on industry 4.0: a literature-based study ; Chapter 3. Solutions for software requirement risks using artificial intelligence techniques ; Chapter 4. Identifying the different categories of IR4.0 technology usage clusters amongst Brunei Darussalam's MSMEs using K-means approach ; Chapter 5. Smart education system initiatives to support data science and industry 4.0 ; Chapter 6. Analysis of campus recruitment data and career counseling in the engineering sector: engineering career guidance by data exploration ; Chapter 7. Identification of student groups for smart tutoring and collaborative learning based on online activities using neural networks ; Chapter 8. Bibliometric review on industry 4.0 in various sites: online blogs and YouTube ; Chapter 9. A comprehensive survey on information diffusion models for social media text: social media analytics ; Chapter 10. An automated text summarization and machine learning-based framework for heart disease prediction ; Chapter 11. Innovative applications of data science: NLP in travel and tourism industries ; Chapter 12. Enhancing automatic speech recognition and speech translation using Google Translate ; Chapter 13. Flood prediction and recommendation system -- Section 2. Cybersecurity innovations in industry 4.0. Chapter 14. Exploring the ethereum blockchain: an introduction to blockchain technology ; Chapter 15. Charity management using blockchain technology ; Chapter 16. Privacy and security through blockchain in industry 4.0: an industrial cybersecurity perspective ; Chapter 17. Securing advanced metering infrastructure using blockchain for energy trade ; Chapter 18. Some insights of cyber physical systems in the context of the tourism and travel industry: a blockchain-based smart framework for smart services ; Chapter 19. Empirical study on cyber-crime and cyber terrorism ; Chapter 20. Cyberbullying: the panorama for prevention and overcoming cyberbullying ; Chapter 21. Data breach in the healthcare system: enhancing data security -- Section 3. Industry 4.0 technologies. Chapter 22. Introduction to augmented reality ; Chapter 23. Internet of things: architectures, applications, and challenges ; Chapter 24. Internet of things in the 5G ecosystem and beyond 5G networks ; Chapter 25. Applications of artificial intelligence in IoT ; Chapter 26. Smart precision agriculture using IoT and WSN ; Chapter 27. Architecture and framework for interfacing cloud-enabled robots "Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology.The handbook of research on data science and cybersecurity innovations in industry 4.0 technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students."-- Industry 4.0 / Security measures / Handbooks, manuals, etc Computer security / Handbooks, manuals, etc Thangavel, M. 1989- (DE-588)1198167688 edt E., Nirmala edt Erscheint auch als Druck-Ausgabe 9781668481455 https://doi.org/10.4018/978-1-6684-8145-5 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies Section 1. Data science innovations in industry 4.0. Chapter 1. Application of artificial intelligence and data science across domains: a perspective study ; Chapter 2. Artificial intelligence impacts on industry 4.0: a literature-based study ; Chapter 3. Solutions for software requirement risks using artificial intelligence techniques ; Chapter 4. Identifying the different categories of IR4.0 technology usage clusters amongst Brunei Darussalam's MSMEs using K-means approach ; Chapter 5. Smart education system initiatives to support data science and industry 4.0 ; Chapter 6. Analysis of campus recruitment data and career counseling in the engineering sector: engineering career guidance by data exploration ; Chapter 7. Identification of student groups for smart tutoring and collaborative learning based on online activities using neural networks ; Chapter 8. Bibliometric review on industry 4.0 in various sites: online blogs and YouTube ; Chapter 9. A comprehensive survey on information diffusion models for social media text: social media analytics ; Chapter 10. An automated text summarization and machine learning-based framework for heart disease prediction ; Chapter 11. Innovative applications of data science: NLP in travel and tourism industries ; Chapter 12. Enhancing automatic speech recognition and speech translation using Google Translate ; Chapter 13. Flood prediction and recommendation system -- Section 2. Cybersecurity innovations in industry 4.0. Chapter 14. Exploring the ethereum blockchain: an introduction to blockchain technology ; Chapter 15. Charity management using blockchain technology ; Chapter 16. Privacy and security through blockchain in industry 4.0: an industrial cybersecurity perspective ; Chapter 17. Securing advanced metering infrastructure using blockchain for energy trade ; Chapter 18. Some insights of cyber physical systems in the context of the tourism and travel industry: a blockchain-based smart framework for smart services ; Chapter 19. Empirical study on cyber-crime and cyber terrorism ; Chapter 20. Cyberbullying: the panorama for prevention and overcoming cyberbullying ; Chapter 21. Data breach in the healthcare system: enhancing data security -- Section 3. Industry 4.0 technologies. Chapter 22. Introduction to augmented reality ; Chapter 23. Internet of things: architectures, applications, and challenges ; Chapter 24. Internet of things in the 5G ecosystem and beyond 5G networks ; Chapter 25. Applications of artificial intelligence in IoT ; Chapter 26. Smart precision agriculture using IoT and WSN ; Chapter 27. Architecture and framework for interfacing cloud-enabled robots Industry 4.0 / Security measures / Handbooks, manuals, etc Computer security / Handbooks, manuals, etc |
title | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies |
title_alt | Research on data science and cybersecurity innovations in industry 4.0 technologies |
title_auth | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies |
title_exact_search | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies |
title_exact_search_txtP | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies |
title_full | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies Thangavel Murugan, Nirmala E. |
title_fullStr | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies Thangavel Murugan, Nirmala E. |
title_full_unstemmed | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies Thangavel Murugan, Nirmala E. |
title_short | Handbook of research on data science and cybersecurity innovations in industry 4.0 technologies |
title_sort | handbook of research on data science and cybersecurity innovations in industry 4 0 technologies |
topic | Industry 4.0 / Security measures / Handbooks, manuals, etc Computer security / Handbooks, manuals, etc |
topic_facet | Industry 4.0 / Security measures / Handbooks, manuals, etc Computer security / Handbooks, manuals, etc |
url | https://doi.org/10.4018/978-1-6684-8145-5 |
work_keys_str_mv | AT thangavelm handbookofresearchondatascienceandcybersecurityinnovationsinindustry40technologies AT enirmala handbookofresearchondatascienceandcybersecurityinnovationsinindustry40technologies AT thangavelm researchondatascienceandcybersecurityinnovationsinindustry40technologies AT enirmala researchondatascienceandcybersecurityinnovationsinindustry40technologies |