Enhancing security in public spaces through generative adversarial networks (GANs):
Within the pages of Enhancing security in public spaces through generative adversarial networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic...
Gespeichert in:
| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Within the pages of Enhancing security in public spaces through generative adversarial networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use. |
| Beschreibung: | 35 PDFs (409 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369335987 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Enhancing security in public spaces through generative adversarial networks (GANs) |c Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 35 PDFs (409 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Advancements in public safety: enhancing facial recognition through GANs for improved accuracy and privacy -- Chapter 2. Advancing cybersecurity: leveraging anomaly detection for proactive threat identification in network and system data -- Chapter 3. Adversarial defense mechanisms for detecting and mitigating cyber-attacks in wireless sensor networks -- Chapter 4. Adversarial learning for intrusion detection in wireless sensor networks: a GAN approach -- Chapter 5. Cloud-based data analytics for autonomous vehicle performance using neural networks -- Chapter 6. Cloud-enabled security adversarial network strategies for public area protection -- Chapter 7. Crowd dynamics analysis: GAN-powered insights for enhanced public safety -- Chapter 8. Data guardians: empowering cybersecurity with generative adversarial networks -- Chapter 9. Deep learning safeguard: exploring gans for robust security in open environments -- Chapter 10. Dynamic evaluation service for safe cloud retention with protection of privacy and reduction of cyber security attacks -- Chapter 11. Enabling safety and security through GANs and cybersecurity synergy for robust protection -- Chapter 12. Enhanced security in smart city GAN-based intrusion detection systems in WSNs -- Chapter 13. Enhancing cyber security through generative adversarial networks -- Chapter 14. Enhancing network analysis through computational intelligence in GANs -- Chapter 15. Enhancing privacy and security in online education using generative adversarial networks -- Chapter 16. Exploring generative adversarial networks (GANs) in the context of public space protection -- Chapter 17. Exploring the role of generative adversarial networks in cybersecurity: techniques, applications, and advancements -- Chapter 18. GAN-based privacy protection for public data sharing in wireless sensor networks -- Chapter 19. Human resources optimization for public space security: a GANs approach -- Chapter 20. Innovative approaches to public safety: implementing generative adversarial networks (GANs) for cyber security enhancement in public spaces -- Chapter 21. Machine learning at the edge: GANs for anomaly detection in wireless sensor networks -- Chapter 22. Novel approaches for secure data packet transmission in public spaces via GANs and blockchain -- Chapter 23. Privacy-preserving data aggregation techniques for enhanced security in wireless sensor networks -- Chapter 24. Smart hand glove for enhancing human safety: a comprehensive study -- Chapter 25. Utilizing real-ESRGAN for enhanced video surveillance in public safety: a case study on road accident prevention. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a Within the pages of Enhancing security in public spaces through generative adversarial networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 05/17/2024). | ||
| 650 | 0 | |a Computer security. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a System safety. | |
| 653 | |a Agriculture applications. | ||
| 653 | |a Art and creativity. | ||
| 653 | |a Cybersecurity. | ||
| 653 | |a Education applications. | ||
| 653 | |a Energy applications. | ||
| 653 | |a Environmental science. | ||
| 653 | |a Finance applications. | ||
| 653 | |a Healthcare applications. | ||
| 653 | |a Human resources. | ||
| 653 | |a Language processing. | ||
| 653 | |a Legal compliance. | ||
| 653 | |a Marketing and advertising. | ||
| 653 | |a Media and entertainment. | ||
| 653 | |a Privacy-preserving data sharing. | ||
| 653 | |a Public policy and governance. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Antari, Jilali, |e editor. | |
| 700 | 1 | |a Bhaladhare, Pawan R., |e editor. | |
| 700 | 1 | |a Kalyanaraman, Swaminathan |d 1987- |e editor. | |
| 700 | 1 | |a Ponnusamy, Sivaram |d 1981- |e editor. | |
| 700 | 1 | |a Potgantwar, Amol D., |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369335970 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3597-0 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
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| author2 | Antari, Jilali Bhaladhare, Pawan R. Kalyanaraman, Swaminathan 1987- Ponnusamy, Sivaram 1981- Potgantwar, Amol D. |
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| author_facet | Antari, Jilali Bhaladhare, Pawan R. Kalyanaraman, Swaminathan 1987- Ponnusamy, Sivaram 1981- Potgantwar, Amol D. |
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| contents | Chapter 1. Advancements in public safety: enhancing facial recognition through GANs for improved accuracy and privacy -- Chapter 2. Advancing cybersecurity: leveraging anomaly detection for proactive threat identification in network and system data -- Chapter 3. Adversarial defense mechanisms for detecting and mitigating cyber-attacks in wireless sensor networks -- Chapter 4. Adversarial learning for intrusion detection in wireless sensor networks: a GAN approach -- Chapter 5. Cloud-based data analytics for autonomous vehicle performance using neural networks -- Chapter 6. Cloud-enabled security adversarial network strategies for public area protection -- Chapter 7. Crowd dynamics analysis: GAN-powered insights for enhanced public safety -- Chapter 8. Data guardians: empowering cybersecurity with generative adversarial networks -- Chapter 9. Deep learning safeguard: exploring gans for robust security in open environments -- Chapter 10. Dynamic evaluation service for safe cloud retention with protection of privacy and reduction of cyber security attacks -- Chapter 11. Enabling safety and security through GANs and cybersecurity synergy for robust protection -- Chapter 12. Enhanced security in smart city GAN-based intrusion detection systems in WSNs -- Chapter 13. Enhancing cyber security through generative adversarial networks -- Chapter 14. Enhancing network analysis through computational intelligence in GANs -- Chapter 15. Enhancing privacy and security in online education using generative adversarial networks -- Chapter 16. Exploring generative adversarial networks (GANs) in the context of public space protection -- Chapter 17. Exploring the role of generative adversarial networks in cybersecurity: techniques, applications, and advancements -- Chapter 18. GAN-based privacy protection for public data sharing in wireless sensor networks -- Chapter 19. Human resources optimization for public space security: a GANs approach -- Chapter 20. Innovative approaches to public safety: implementing generative adversarial networks (GANs) for cyber security enhancement in public spaces -- Chapter 21. Machine learning at the edge: GANs for anomaly detection in wireless sensor networks -- Chapter 22. Novel approaches for secure data packet transmission in public spaces via GANs and blockchain -- Chapter 23. Privacy-preserving data aggregation techniques for enhanced security in wireless sensor networks -- Chapter 24. Smart hand glove for enhancing human safety: a comprehensive study -- Chapter 25. Utilizing real-ESRGAN for enhanced video surveillance in public safety: a case study on road accident prevention. |
| ctrlnum | (CaBNVSL)slc00005946 (OCoLC)1434590885 |
| dewey-full | 006.32 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.32 |
| dewey-search | 006.32 |
| dewey-sort | 16.32 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
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| id | ZDB-98-IGB-00336531 |
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| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369335987 |
| language | English |
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| spelling | Enhancing security in public spaces through generative adversarial networks (GANs) Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 35 PDFs (409 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Advancements in public safety: enhancing facial recognition through GANs for improved accuracy and privacy -- Chapter 2. Advancing cybersecurity: leveraging anomaly detection for proactive threat identification in network and system data -- Chapter 3. Adversarial defense mechanisms for detecting and mitigating cyber-attacks in wireless sensor networks -- Chapter 4. Adversarial learning for intrusion detection in wireless sensor networks: a GAN approach -- Chapter 5. Cloud-based data analytics for autonomous vehicle performance using neural networks -- Chapter 6. Cloud-enabled security adversarial network strategies for public area protection -- Chapter 7. Crowd dynamics analysis: GAN-powered insights for enhanced public safety -- Chapter 8. Data guardians: empowering cybersecurity with generative adversarial networks -- Chapter 9. Deep learning safeguard: exploring gans for robust security in open environments -- Chapter 10. Dynamic evaluation service for safe cloud retention with protection of privacy and reduction of cyber security attacks -- Chapter 11. Enabling safety and security through GANs and cybersecurity synergy for robust protection -- Chapter 12. Enhanced security in smart city GAN-based intrusion detection systems in WSNs -- Chapter 13. Enhancing cyber security through generative adversarial networks -- Chapter 14. Enhancing network analysis through computational intelligence in GANs -- Chapter 15. Enhancing privacy and security in online education using generative adversarial networks -- Chapter 16. Exploring generative adversarial networks (GANs) in the context of public space protection -- Chapter 17. Exploring the role of generative adversarial networks in cybersecurity: techniques, applications, and advancements -- Chapter 18. GAN-based privacy protection for public data sharing in wireless sensor networks -- Chapter 19. Human resources optimization for public space security: a GANs approach -- Chapter 20. Innovative approaches to public safety: implementing generative adversarial networks (GANs) for cyber security enhancement in public spaces -- Chapter 21. Machine learning at the edge: GANs for anomaly detection in wireless sensor networks -- Chapter 22. Novel approaches for secure data packet transmission in public spaces via GANs and blockchain -- Chapter 23. Privacy-preserving data aggregation techniques for enhanced security in wireless sensor networks -- Chapter 24. Smart hand glove for enhancing human safety: a comprehensive study -- Chapter 25. Utilizing real-ESRGAN for enhanced video surveillance in public safety: a case study on road accident prevention. Restricted to subscribers or individual electronic text purchasers. Within the pages of Enhancing security in public spaces through generative adversarial networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Computer security. Machine learning. Neural networks (Computer science) System safety. Agriculture applications. Art and creativity. Cybersecurity. Education applications. Energy applications. Environmental science. Finance applications. Healthcare applications. Human resources. Language processing. Legal compliance. Marketing and advertising. Media and entertainment. Privacy-preserving data sharing. Public policy and governance. Electronic books. Antari, Jilali, editor. Bhaladhare, Pawan R., editor. Kalyanaraman, Swaminathan 1987- editor. Ponnusamy, Sivaram 1981- editor. Potgantwar, Amol D., editor. IGI Global, publisher. Print version: 9798369335970 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3597-0 Volltext |
| spellingShingle | Enhancing security in public spaces through generative adversarial networks (GANs) Chapter 1. Advancements in public safety: enhancing facial recognition through GANs for improved accuracy and privacy -- Chapter 2. Advancing cybersecurity: leveraging anomaly detection for proactive threat identification in network and system data -- Chapter 3. Adversarial defense mechanisms for detecting and mitigating cyber-attacks in wireless sensor networks -- Chapter 4. Adversarial learning for intrusion detection in wireless sensor networks: a GAN approach -- Chapter 5. Cloud-based data analytics for autonomous vehicle performance using neural networks -- Chapter 6. Cloud-enabled security adversarial network strategies for public area protection -- Chapter 7. Crowd dynamics analysis: GAN-powered insights for enhanced public safety -- Chapter 8. Data guardians: empowering cybersecurity with generative adversarial networks -- Chapter 9. Deep learning safeguard: exploring gans for robust security in open environments -- Chapter 10. Dynamic evaluation service for safe cloud retention with protection of privacy and reduction of cyber security attacks -- Chapter 11. Enabling safety and security through GANs and cybersecurity synergy for robust protection -- Chapter 12. Enhanced security in smart city GAN-based intrusion detection systems in WSNs -- Chapter 13. Enhancing cyber security through generative adversarial networks -- Chapter 14. Enhancing network analysis through computational intelligence in GANs -- Chapter 15. Enhancing privacy and security in online education using generative adversarial networks -- Chapter 16. Exploring generative adversarial networks (GANs) in the context of public space protection -- Chapter 17. Exploring the role of generative adversarial networks in cybersecurity: techniques, applications, and advancements -- Chapter 18. GAN-based privacy protection for public data sharing in wireless sensor networks -- Chapter 19. Human resources optimization for public space security: a GANs approach -- Chapter 20. Innovative approaches to public safety: implementing generative adversarial networks (GANs) for cyber security enhancement in public spaces -- Chapter 21. Machine learning at the edge: GANs for anomaly detection in wireless sensor networks -- Chapter 22. Novel approaches for secure data packet transmission in public spaces via GANs and blockchain -- Chapter 23. Privacy-preserving data aggregation techniques for enhanced security in wireless sensor networks -- Chapter 24. Smart hand glove for enhancing human safety: a comprehensive study -- Chapter 25. Utilizing real-ESRGAN for enhanced video surveillance in public safety: a case study on road accident prevention. Computer security. Machine learning. Neural networks (Computer science) System safety. |
| title | Enhancing security in public spaces through generative adversarial networks (GANs) |
| title_auth | Enhancing security in public spaces through generative adversarial networks (GANs) |
| title_exact_search | Enhancing security in public spaces through generative adversarial networks (GANs) |
| title_full | Enhancing security in public spaces through generative adversarial networks (GANs) Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman. |
| title_fullStr | Enhancing security in public spaces through generative adversarial networks (GANs) Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman. |
| title_full_unstemmed | Enhancing security in public spaces through generative adversarial networks (GANs) Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman. |
| title_short | Enhancing security in public spaces through generative adversarial networks (GANs) |
| title_sort | enhancing security in public spaces through generative adversarial networks gans |
| topic | Computer security. Machine learning. Neural networks (Computer science) System safety. |
| topic_facet | Computer security. Machine learning. Neural networks (Computer science) System safety. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3597-0 |
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