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 Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2023
|
| Schriftenreihe: | IET security series
20 |
| Online-Zugang: | TUM01 UBY01 Volltext |
| 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 |
| Beschreibung: | 1 Online-Ressource (xiii, 272 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781839535482 |
| DOI: | 10.1049/PBSE020E |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV049418308 | ||
| 003 | DE-604 | ||
| 005 | 20240208 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 231116s2023 |||| o||u| ||||||eng d | ||
| 020 | |a 9781839535482 |9 978-1-83953-548-2 | ||
| 024 | 7 | |a 10.1049/PBSE020E |2 doi | |
| 035 | |a (ZDB-100-IET)PBSE020E | ||
| 035 | |a (OCoLC)1410703699 | ||
| 035 | |a (DE-599)BVBBV049418308 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-706 | ||
| 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 |
| 264 | 1 | |a Stevenage |b The Institution of Engineering and Technology |c 2023 | |
| 300 | |a 1 Online-Ressource (xiii, 272 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a IET security series |v 20 | |
| 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 | ||
| 700 | 1 | |a Abd El-Latif, Ahmed A. |d 1984- |0 (DE-588)1267948175 |4 edt | |
| 700 | 1 | |a Hammad, Mohammed Adel |4 edt | |
| 700 | 1 | |a Maleh, Yassine |d 1987- |0 (DE-588)1190215594 |4 edt | |
| 700 | 1 | |a Gupta, Brij |d 1982- |0 (DE-588)1103817469 |4 edt | |
| 700 | 1 | |a Mazurczyk, Wojciech |0 (DE-588)1097599752 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781839535475 |
| 856 | 4 | 0 | |u https://doi.org/10.1049/PBSE020E |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-100-IET | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034745271 | ||
| 966 | e | |u https://doi.org/10.1049/PBSE020E |l TUM01 |p ZDB-100-IET |q TUM_Paketkauf_2023 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1049/PBSE020E |l UBY01 |p ZDB-100-IET |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804186150309462016 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Abd El-Latif, Ahmed A. 1984- Hammad, Mohammed Adel Maleh, Yassine 1987- Gupta, Brij 1982- Mazurczyk, Wojciech |
| author2_role | edt edt edt edt edt |
| author2_variant | e l a a a elaa elaaa m a h ma mah y m ym b g bg w m wm |
| author_GND | (DE-588)1267948175 (DE-588)1190215594 (DE-588)1103817469 (DE-588)1097599752 |
| author_facet | Abd El-Latif, Ahmed A. 1984- Hammad, Mohammed Adel Maleh, Yassine 1987- Gupta, Brij 1982- Mazurczyk, Wojciech |
| building | Verbundindex |
| bvnumber | BV049418308 |
| collection | ZDB-100-IET |
| ctrlnum | (ZDB-100-IET)PBSE020E (OCoLC)1410703699 (DE-599)BVBBV049418308 |
| doi_str_mv | 10.1049/PBSE020E |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03295nmm a2200409zcb4500</leader><controlfield tag="001">BV049418308</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240208 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231116s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839535482</subfield><subfield code="9">978-1-83953-548-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1049/PBSE020E</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-100-IET)PBSE020E</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1410703699</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049418308</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Intelligence for biometrics and cybersecurity</subfield><subfield code="b">technology and applications</subfield><subfield code="c">edited by Ahmed A. Abd El-Latif, Mohammed Adel Hammad, Yassine Maleh, Brij B. Gupta and Wojciech Mazurczyk</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Stevenage</subfield><subfield code="b">The Institution of Engineering and Technology</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 272 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">IET security series</subfield><subfield code="v">20</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abd El-Latif, Ahmed A.</subfield><subfield code="d">1984-</subfield><subfield code="0">(DE-588)1267948175</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hammad, Mohammed Adel</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Maleh, Yassine</subfield><subfield code="d">1987-</subfield><subfield code="0">(DE-588)1190215594</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gupta, Brij</subfield><subfield code="d">1982-</subfield><subfield code="0">(DE-588)1103817469</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mazurczyk, Wojciech</subfield><subfield code="0">(DE-588)1097599752</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781839535475</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1049/PBSE020E</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-100-IET</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034745271</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1049/PBSE020E</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-100-IET</subfield><subfield code="q">TUM_Paketkauf_2023</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1049/PBSE020E</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-100-IET</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049418308 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:07:16Z |
| indexdate | 2024-07-10T10:06:33Z |
| 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 |
| spelling | 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 Stevenage The Institution of Engineering and Technology 2023 1 Online-Ressource (xiii, 272 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier IET security series 20 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 Abd El-Latif, Ahmed A. 1984- (DE-588)1267948175 edt Hammad, Mohammed Adel edt Maleh, Yassine 1987- (DE-588)1190215594 edt Gupta, Brij 1982- (DE-588)1103817469 edt Mazurczyk, Wojciech (DE-588)1097599752 edt Erscheint auch als Druck-Ausgabe 9781839535475 https://doi.org/10.1049/PBSE020E Verlag URL des Erstveröffentlichers Volltext |
| 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_exact_search_txtP | 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 |
| work_keys_str_mv | AT abdellatifahmeda artificialintelligenceforbiometricsandcybersecuritytechnologyandapplications AT hammadmohammedadel artificialintelligenceforbiometricsandcybersecuritytechnologyandapplications AT malehyassine artificialintelligenceforbiometricsandcybersecuritytechnologyandapplications AT guptabrij artificialintelligenceforbiometricsandcybersecuritytechnologyandapplications AT mazurczykwojciech artificialintelligenceforbiometricsandcybersecuritytechnologyandapplications |