Data-driven mining, learning and analytics for secured smart cities : trends and advances / Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab, editors.

This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, servi...

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Bibliographic Details
Other Authors: Chakraborty, Chinmay (Editor), Lin, Jerry Chun-Wei (Editor), Alazab, Mamoun, 1980- (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Series:Advanced sciences and technologies for security applications,
Subjects:
Online Access:Click for online access

MARC

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245 0 0 |a Data-driven mining, learning and analytics for secured smart cities :  |b trends and advances /  |c Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2021] 
300 |a 1 online resource (x, 383 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Advanced sciences and technologies for security applications,  |x 1613-5113 
520 |a This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities. 
505 0 |a Analytics of Multiple-Threshold Model for High Average-Utilization Patterns in Smart City Environments -- Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities -- Smart Cities Ecosystem in the Modern Digital Age: An Introduction -- A Reliable Cloud Assisted IoT Application in Smart Cities -- Lightweight Security Protocols for Securing IoT Devices in Smart Cities -- Blockchain Integrated Framework for Resolving Privacy Issues in Smart City -- Field Programmable Gate Array (FPGA) Based IoT for Smart City Applications -- Modified Transaction Against Double-Spending Attack Using Blockchain to Secure Smart Cities -- Smart City Ecosystem Opportunities: Perspectives and Challenges -- Data-Driven Generative Design Integrated with Hybrid Additive Subtractive Manufacturing (HASM) for Smart Cities -- End-to-End Learning for Autonomous Driving in Secured Smart Cities -- Smart City Technologies for Next Generation Healthcare -- An Investigation on Personalized Point-of-Interest Recommender System for Location-Based Social Networks in Smart Cities -- Privacy Issues of Smart Cities: Legal Outlook -- Artificial Intelligence and Financial Markets in Smart Cities -- Cybercrime Issues in Smart Cities Networks and Prevention Using Ethical Hacking -- A Look at Machine Learning in the Modern Age of Sustainable Future Secured Smart Cities. 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed May 7, 2021). 
650 0 |a Smart cities. 
650 0 |a Data mining. 
650 0 |a Municipal engineering  |x Data processing. 
650 0 |a City planning  |x Data processing. 
650 7 |a City planning  |x Data processing  |2 fast 
650 7 |a Data mining  |2 fast 
650 7 |a Municipal engineering  |x Data processing  |2 fast 
650 7 |a Smart cities  |2 fast 
700 1 |a Chakraborty, Chinmay,  |e editor. 
700 1 |a Lin, Jerry Chun-Wei,  |e editor. 
700 1 |a Alazab, Mamoun,  |d 1980-  |e editor  |1 https://id.oclc.org/worldcat/entity/E39PCjxvmmGHTBfd7Td3MmKQVP  |1 https://orcid.org/0000-0002-1928-3704 
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776 0 8 |i Print version:  |z 9783030721381  |w (OCoLC)1240305889 
830 0 |a Advanced sciences and technologies for security applications,  |x 1613-5113 
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