國立虎尾科技大學 |

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics = Theories and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics/ edited by Haruna Chiroma, Shafi’i M. Abdulhamid, Philippe Fournier-Viger, Nuno M. Garcia.
其他題名:	Theories and Applications /
其他作者:	Garcia, Nuno M.
面頁冊數:	VII, 315 p. 120 illus., 68 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-030-66288-2
ISBN:	9783030662882

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics = Theories and Applications /
Machine Learning and Data Mining for Emerging Trend in Cyber DynamicsTheories and Applications /[electronic resource] :edited by Haruna Chiroma, Shafi’i M. Abdulhamid, Philippe Fournier-Viger, Nuno M. Garcia. - 1st ed. 2021. - VII, 315 p. 120 illus., 68 illus. in color.online resource.

Generative Adversarial Network for the Detection of Ransomware in Cyber Dynamics -- Deep Learning for Blockchain Technologies: A Survey and Research Directions -- Deep Recurrent Neural Network for the Enhancement of Resource Allocation in Edge Computing -- Recommender Systems in the Next Generation Cloud Architectures -- Collusion Detection in the Internet of Vehicles Environment via Machine Learning Algorithms -- Mobile Cloud Computing Security Strategies Using Machine Learning Algorithms -- Resilient Edge Computing Devices Using Federated Learning Technique -- DeepFake: A Panacea for New Generation Simulated Videos -- Machine Learning-Based Malware Detection Systems in a Cyber-Physical Systems -- Support Vector Machine-Based Crypto-Locker Ransomware Attacks Detection with Grey-Wolf Optimization -- A Survey of Algorithms for Analysing Graph Data in the Cloud -- A Survey of Sequence Prediction Models to Predict Behaviour of Dynamic Systems -- Finding High Utility Patterns to Detect Network Attacks -- Authorship Attribution and User Profile Inference in Social Networks -- Deep Convolutional Neural Network for Data Analytics in the Cyber Dynamics.

This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.

ISBN: 9783030662882

Standard No.: 10.1007/978-3-030-66288-2doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: TK7885-7895

Dewey Class. No.: 621.38

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics = Theories and Applications /
LDR:03689nam a22004215i 4500 001 1049956
003 DE-He213
005 20210814172438.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030662882 $9 978-3-030-66288-2
024 7 $a 10.1007/978-3-030-66288-2 $2 doi
035 $a 978-3-030-66288-2
050 4 $a TK7885-7895
050 4 $a TK5105.8857
072 7 $a THR $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a THR $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 621.38 $2 23
245 1 0 $a Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics $h [electronic resource] : $b Theories and Applications / $c edited by Haruna Chiroma, Shafi’i M. Abdulhamid, Philippe Fournier-Viger, Nuno M. Garcia.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VII, 315 p. 120 illus., 68 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
505 0 $a Generative Adversarial Network for the Detection of Ransomware in Cyber Dynamics -- Deep Learning for Blockchain Technologies: A Survey and Research Directions -- Deep Recurrent Neural Network for the Enhancement of Resource Allocation in Edge Computing -- Recommender Systems in the Next Generation Cloud Architectures -- Collusion Detection in the Internet of Vehicles Environment via Machine Learning Algorithms -- Mobile Cloud Computing Security Strategies Using Machine Learning Algorithms -- Resilient Edge Computing Devices Using Federated Learning Technique -- DeepFake: A Panacea for New Generation Simulated Videos -- Machine Learning-Based Malware Detection Systems in a Cyber-Physical Systems -- Support Vector Machine-Based Crypto-Locker Ransomware Attacks Detection with Grey-Wolf Optimization -- A Survey of Algorithms for Analysing Graph Data in the Cloud -- A Survey of Sequence Prediction Models to Predict Behaviour of Dynamic Systems -- Finding High Utility Patterns to Detect Network Attacks -- Authorship Attribution and User Profile Inference in Social Networks -- Deep Convolutional Neural Network for Data Analytics in the Cyber Dynamics.
520 $a This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 1 4 $a Cyber-physical systems, IoT. $3 1226036
650 0 $a Machine learning. $3 561253
650 0 $a Big data. $3 981821
650 0 $a Data mining. $3 528622
650 0 $a Embedded computer systems. $3 562313
650 0 $a Internet of things. $3 1023130
650 0 $a Computer engineering. $3 569006
700 1 $a Garcia, Nuno M. $e editor. $1 https://orcid.org/0000-0002-3195-3168 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310561
700 1 $a Fournier-Viger, Philippe. $e editor. $1 https://orcid.org/0000-0002-7680-9899 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1307212
700 1 $a Abdulhamid, Shafi’i M. $e editor. $1 https://orcid.org/0000-0001-9196-9447 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1354199
700 1 $a Chiroma, Haruna. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1229395
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030662875
776 0 8 $i Printed edition: $z 9783030662899
776 0 8 $i Printed edition: $z 9783030662905
856 4 0 $u https://doi.org/10.1007/978-3-030-66288-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)