國立虎尾科技大學 |

Privacy and Data Protection Challenges in the Distributed Era

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Privacy and Data Protection Challenges in the Distributed Era/ by Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis.
作者:	Politou, Eugenia.
其他作者:	Patsakis, Constantinos.
面頁冊數:	XIX, 185 p. 10 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-85443-0
ISBN:	9783030854430

Privacy and Data Protection Challenges in the Distributed Era
Politou, Eugenia.

Privacy and Data Protection Challenges in the Distributed Era[electronic resource] /by Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis. - 1st ed. 2022. - XIX, 185 p. 10 illus. in color.online resource. - Learning and Analytics in Intelligent Systems,262662-3455 ;. - Learning and Analytics in Intelligent Systems,1.

Chapter 1: Introduction -- Chapter 2: Privacy and personal data protection -- Chapter 3: The General Data Protection Regulation -- Chapter 4: The “Right to be Forgotten” in the GDPR: Implementation challenges and potential solutions -- Chapter 5: State-of-the-art technological developments.

This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.

ISBN: 9783030854430

Standard No.: 10.1007/978-3-030-85443-0doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Privacy and Data Protection Challenges in the Distributed Era
LDR:02810nam a22004095i 4500 001 1090208
003 DE-He213
005 20220114092714.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030854430 $9 978-3-030-85443-0
024 7 $a 10.1007/978-3-030-85443-0 $2 doi
035 $a 978-3-030-85443-0
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Politou, Eugenia. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1397576
245 1 0 $a Privacy and Data Protection Challenges in the Distributed Era $h [electronic resource] / $c by Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XIX, 185 p. 10 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Learning and Analytics in Intelligent Systems, $x 2662-3455 ; $v 26
505 0 $a Chapter 1: Introduction -- Chapter 2: Privacy and personal data protection -- Chapter 3: The General Data Protection Regulation -- Chapter 4: The “Right to be Forgotten” in the GDPR: Implementation challenges and potential solutions -- Chapter 5: State-of-the-art technological developments.
520 $a This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Engineering. $3 1226308
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Artificial intelligence. $3 559380
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Computational intelligence. $3 568984
700 1 $a Patsakis, Constantinos. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1397577
700 1 $a Virvou, Maria. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 665395
700 1 $a Alepis, Efthimios. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1023756
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030854423
776 0 8 $i Printed edition: $z 9783030854447
776 0 8 $i Printed edition: $z 9783030854454
830 0 $a Learning and Analytics in Intelligent Systems, $x 2662-3447 ; $v 1 $3 1297965
856 4 0 $u https://doi.org/10.1007/978-3-030-85443-0
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)