國立虎尾科技大學 |

AI, blockchain and self-sovereign identity in higher education

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	AI, blockchain and self-sovereign identity in higher education/ edited by Hamid Jahankhani ... [et al.].
其他作者:	Jahankhani, Hamid.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	vi, 313 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Educational applications. -
電子資源:	https://doi.org/10.1007/978-3-031-33627-0
ISBN:	9783031336270

AI, blockchain and self-sovereign identity in higher education
AI, blockchain and self-sovereign identity in higher education[electronic resource] /edited by Hamid Jahankhani ... [et al.]. - Cham :Springer Nature Switzerland :2023. - vi, 313 p. :ill. (some col.), digital ;24 cm. - Advanced sciences and technologies for security applications,2363-9466. - Advanced sciences and technologies for security applications..

1. The Role of Blockchain with a Cybersecurity Maturity Model in the Governance of Higher Education Supply Chains -- 2. Fighting the Tide - GPT and An Alarming Sense of Déjà Vu -- 3. Embedding AI in Higher Education: a call for a service design approach -- 4. An empirical study into Ransomware campaigns against the Education Sector & adopting the Cybersecurity Maturity Model Certification Framework -- 5. Strategic Decision-Making for Pedagogical Course Planning using NLP in Social Media -- 6. The Use of Virtual Learning Environments in Higher Education - Content, Community and Connectivism - Learning From Student Users -- 7. Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure -- 8. Development of a Decentralized Personal Indefinable information (PII) management systems using Blockchain DBFT consensus Algorithm -- 9. Security Framework for Big Data usage in cloud-based e-learning application -- 10. A proactive approach to protect cloud computing environment against a Distributed Denial of Service (DDoS) attack.

This book aims to explore the next generation of online learning challenges including the security and privacy issues of digital transformation strategies that is required in teaching and learning. Also, what efforts does the industry need to invest in changing mind-sets and behaviours of both students and faculty members in adoption of virtual and blended learning? The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI, blockchain and self-sovereign identity, but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges in higher education. The book provides a valuable reference for cyber security experts and practitioners, network security professionals and higher education strategist and decision-makers. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security and AI in higher education. Each chapter is written by an internationally renowned expert who has extensive experience in industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.

ISBN: 9783031336270

Standard No.: 10.1007/978-3-031-33627-0doiSubjects--Topical Terms:

559257
Artificial intelligence
--Educational applications.

LC Class. No.: LB1028.43

Dewey Class. No.: 378.0028563

AI, blockchain and self-sovereign identity in higher education
LDR:03585nam a2200361 a 4500 001 1106072
003 DE-He213
005 20230622110739.0
006 m d
007 cr nn 008maaau
008 231013s2023 sz s 0 eng d
020 $a 9783031336270 $q (electronic bk.)
020 $a 9783031336263 $q (paper)
024 7 $a 10.1007/978-3-031-33627-0 $2 doi
035 $a 978-3-031-33627-0
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1028.43
072 7 $a UR $2 bicssc
072 7 $a UTN $2 bicssc
072 7 $a COM053000 $2 bisacsh
072 7 $a UR $2 thema
072 7 $a UTN $2 thema
082 0 4 $a 378.0028563 $2 23
090 $a LB1028.43 $b .A288 2023
245 0 0 $a AI, blockchain and self-sovereign identity in higher education $h [electronic resource] / $c edited by Hamid Jahankhani ... [et al.].
260 $a Cham : $c 2023. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a vi, 313 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advanced sciences and technologies for security applications, $x 2363-9466
505 0 $a 1. The Role of Blockchain with a Cybersecurity Maturity Model in the Governance of Higher Education Supply Chains -- 2. Fighting the Tide - GPT and An Alarming Sense of Déjà Vu -- 3. Embedding AI in Higher Education: a call for a service design approach -- 4. An empirical study into Ransomware campaigns against the Education Sector & adopting the Cybersecurity Maturity Model Certification Framework -- 5. Strategic Decision-Making for Pedagogical Course Planning using NLP in Social Media -- 6. The Use of Virtual Learning Environments in Higher Education - Content, Community and Connectivism - Learning From Student Users -- 7. Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure -- 8. Development of a Decentralized Personal Indefinable information (PII) management systems using Blockchain DBFT consensus Algorithm -- 9. Security Framework for Big Data usage in cloud-based e-learning application -- 10. A proactive approach to protect cloud computing environment against a Distributed Denial of Service (DDoS) attack.
520 $a This book aims to explore the next generation of online learning challenges including the security and privacy issues of digital transformation strategies that is required in teaching and learning. Also, what efforts does the industry need to invest in changing mind-sets and behaviours of both students and faculty members in adoption of virtual and blended learning? The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI, blockchain and self-sovereign identity, but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges in higher education. The book provides a valuable reference for cyber security experts and practitioners, network security professionals and higher education strategist and decision-makers. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security and AI in higher education. Each chapter is written by an internationally renowned expert who has extensive experience in industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
650 0 $a Artificial intelligence $x Educational applications. $3 559257
650 0 $a Education, Higher $x Data processing. $3 1097567
650 0 $a Blockchains (Databases) $3 1140752
650 1 4 $a Data and Information Security. $3 1365785
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Mobile and Network Security. $3 1211619
650 2 4 $a Higher Education. $3 679030
700 1 $a Jahankhani, Hamid. $3 681083
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Advanced sciences and technologies for security applications. $3 1103354
856 4 0 $u https://doi.org/10.1007/978-3-031-33627-0
950 $a Physics and Astronomy (SpringerNature-11651)