Artificial Intelligence for biometrics and cybersecurity: technology and applications
The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recogn...
Gespeichert in:
Weitere beteiligte Personen: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2023
|
Schriftenreihe: | IET security series
20 |
Links: | https://doi.org/10.1049/PBSE020E https://doi.org/10.1049/PBSE020E https://doi.org/10.1049/PBSE020E |
Zusammenfassung: | The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks. This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including machine and deep learning architectures, emerging applications and ethical and legal concerns. Topics include federated learning for enhanced cybersecurity; artificial intelligence-based biometric authentication using ECG signal; deep learning for email phishing detection methods; biometrics for secured IoT systems; intelligent authentication using graphical one-time-passwords; and AI in social cybersecurity. "Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications" is aimed at artificial intelligence, biometrics and cybersecurity experts, industry and academic researchers, network security engineers, cybersecurity professionals, and advanced students and newcomers to the field interested in the newest advancements in artificial intelligence for cybersecurity and biometrics |
Umfang: | 1 Online-Ressource (xiii, 272 Seiten) Illustrationen, Diagramme |
ISBN: | 9781839535482 |
DOI: | 10.1049/PBSE020E |
Internformat
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245 | 1 | 0 | |a Artificial Intelligence for biometrics and cybersecurity |b technology and applications |c edited by Ahmed A. Abd El-Latif, Mohammed Adel Hammad, Yassine Maleh, Brij B. Gupta and Wojciech Mazurczyk |
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520 | |a The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks. This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including machine and deep learning architectures, emerging applications and ethical and legal concerns. Topics include federated learning for enhanced cybersecurity; artificial intelligence-based biometric authentication using ECG signal; deep learning for email phishing detection methods; biometrics for secured IoT systems; intelligent authentication using graphical one-time-passwords; and AI in social cybersecurity. "Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications" is aimed at artificial intelligence, biometrics and cybersecurity experts, industry and academic researchers, network security engineers, cybersecurity professionals, and advanced students and newcomers to the field interested in the newest advancements in artificial intelligence for cybersecurity and biometrics | ||
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id | DE-604.BV049418308 |
illustrated | Illustrated |
indexdate | 2024-12-20T20:11:30Z |
institution | BVB |
isbn | 9781839535482 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034745271 |
oclc_num | 1410703699 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-706 |
owner_facet | DE-91 DE-BY-TUM DE-706 |
physical | 1 Online-Ressource (xiii, 272 Seiten) Illustrationen, Diagramme |
psigel | ZDB-100-IET ZDB-100-IET TUM_Paketkauf_2023 |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | The Institution of Engineering and Technology |
record_format | marc |
series2 | IET security series |
spellingShingle | Artificial Intelligence for biometrics and cybersecurity technology and applications |
title | Artificial Intelligence for biometrics and cybersecurity technology and applications |
title_auth | Artificial Intelligence for biometrics and cybersecurity technology and applications |
title_exact_search | Artificial Intelligence for biometrics and cybersecurity technology and applications |
title_full | Artificial Intelligence for biometrics and cybersecurity technology and applications edited by Ahmed A. Abd El-Latif, Mohammed Adel Hammad, Yassine Maleh, Brij B. Gupta and Wojciech Mazurczyk |
title_fullStr | Artificial Intelligence for biometrics and cybersecurity technology and applications edited by Ahmed A. Abd El-Latif, Mohammed Adel Hammad, Yassine Maleh, Brij B. Gupta and Wojciech Mazurczyk |
title_full_unstemmed | Artificial Intelligence for biometrics and cybersecurity technology and applications edited by Ahmed A. Abd El-Latif, Mohammed Adel Hammad, Yassine Maleh, Brij B. Gupta and Wojciech Mazurczyk |
title_short | Artificial Intelligence for biometrics and cybersecurity |
title_sort | artificial intelligence for biometrics and cybersecurity technology and applications |
title_sub | technology and applications |
url | https://doi.org/10.1049/PBSE020E |
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