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9781799834458: Large-Scale Data Streaming, Processing, and Blockchain Security

Synopsis

Data has cemented itself as a building block of daily life. However, surrounding oneself with great quantities of information heightens risks to one's personal privacy. Additionally, the presence of massive amounts of information prompts researchers into how best to handle and disseminate it. Research is necessary to understand how to cope with the current technological requirements. Large-Scale Data Streaming, Processing, and Blockchain Security is a collection of innovative research that explores the latest methodologies, modeling, and simulations for coping with the generation and management of large-scale data in both scientific and individual applications. Featuring coverage on a wide range of topics including security models, internet of things, and collaborative filtering, this book is ideally designed for entrepreneurs, security analysts, IT consultants, security professionals, programmers, computer technicians, data scientists, technology developers, engineers, researchers, academicians, and students.

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À propos des auteurs

Hemraj Saini is currently working as Associate Professor in the Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat-173234. Prior to that he has worked in AIET, Alwar; OEC, Bhubaneswar; HIE, Baniwalid (Libya); BITS, Pilani; IET, Alwar; REIL, Jaipur and Dataman System, Delhi for almost 20 years in Academics, Administration and Industry. Five (05) Ph.D. degrees have been awarded and two (02) Ph.D. Theses are submitted under his valuable guidance. He is an active member of various professional technical and scientific associations such as IEEE, ACM, IAENG, etc. Presently he is providing his services in various modes like, Editor, Member of Editorial Boards, Member of different Subject Research Committees, reviewer for International Journals and Conferences including Springer, ScienceDirect, IEEE, Wiely, IGI Global, Benthem Science etc. and as a resource person for various workshops and conferences. He has published more than 100 research papers in International/National Journals and Conferences of repute. He has also organized various International/National conferences and workshops.

Geetanjali Rathee is currently working as an Assistant Professor (Sr. Grade) in the Department of Computer Science Engineering and Information Technology with JUIT. She received their Ph.D. in Computer Science Engineering from Jaypee University of Information Technology (JUIT), Waknaghat, Himachal Pradesh, India in 2017. Her research interests include handoff security, cognitive networks, blockchain technology, resilience in wireless mesh networking, routing protocols and networking, and industry 4.0. Until now, she has approximately 25 publications in peer-reviewed journals and more than 15 publications in international and national conferences. She is also a reviewer for various journals such as IEEE Transactions on Vehicular Technology, Wireless Networks, Cluster Computing, Ambience Computing, Transactions on Emerging Telecommunications Engineering, and the International Journal of Communication Systems.

Dinesh Kumar Saini worked as Dean, Faculty of Computing and Information Technology(2016-2018) and Associate professor in the faculty of computing and information technology since 2008 till date. Prior to this assignment, worked in the King Saud University Saudi Arabia. Main area of research is Environmental informatics, Agent Technology, Security, Software Systems, Content Management systems, Learning Objects, Higher Education. Worked on Mathematical Modelling in Cyber Systems, Malicious Object Propagation and Immune system design.

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9781799834441: Large-scale Data Streaming, Processing, and Blockchain Security

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ISBN 10 :  1799834441 ISBN 13 :  9781799834441
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents innovative research that explores the latest methodologies, modelling, and simulations for coping with the generation and management of large-scale data in both scientific and individual applications. The book features coverage of a wide range of t. N° de réf. du vendeur 448342370

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