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Security, Privacy and Data Analytics: Select Proceedings of the 2nd International Conference, ISPDA 2022: 1049 (Lecture Notes in Electrical Engineering) - Tapa dura

 
9789819935680: Security, Privacy and Data Analytics: Select Proceedings of the 2nd International Conference, ISPDA 2022: 1049 (Lecture Notes in Electrical Engineering)

Sinopsis

This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe.

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Acerca del autor

Udai Pratap Rao (Senior Member, IEEE) received a Ph.D. in Computer Engineering from Sardar Vallabhbhai National Institute of Technology, Surat (Gujarat), India, in 2014. He has been working as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna since 10th Nov 2022. Before joining the National Institute of Technology Patna, he was associated as an Assistant Professor with Sardar Vallabhbhai National Institute of Technology, Surat, in the Department of Computer Science and Engineering from 07-08-2007 to 09-11-2022. His research interests include information security & privacy, privacy in location-based services, big data privacy, security, and trust management in online social networks (OSNs), security and privacy in IoT and cyber-physical systems, and distributed computing. He has published about 90 papers extensively in journals, book chapters, and refereed conference proceedings. He has supervised 05Ph.D. theses in the fields of data privacy, IoT security, and Security and Trust Management in OSN. He has also supervised a Post Doctoral Fellow (PDF) under ISEA Project Phase II in the Department of Computer Engineering at SVNIT Surat.  He is currently the PI of the research project entitled “Design and Implementation of Secure Service and Attribute-based Authorization Model in Dynamic and Constrained-specific IoT Environment” funded by IHUB NTIHAC Foundation, IITK, under the aegis of the National Mission on Interdisciplinary Cyber-Physical System (NM-ICPS), Department of Science and Technology, Government of India. He was the Principal Investigator (PI) of the Micro Research project entitled “Investigating Light-Weight Cryptography Algorithms and Its Application to Various IoT Devices” funded by TEQIP-III from July 2019 to Jan 2021. He also acted as the Chief Investigator of the  “Information Security Education and Awareness Project Phase II” project from July 2018 to Dec2019, funded by the Ministry of Electronics and Information Technology (MeitY) Govt. of India. He has also edited two books published by reputed international publishers.
Mamoun Alazab is an Associate Professor at the College of Engineering, IT, and Environment at Charles Darwin University, Australia. He received his Ph.D. degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is the recipient of the prestigious award: NT Young Tall Poppy (2021) of the year from the Australian Institute of Policy and Science (AIPS), and the Japan Society for the Promotion of Science (JSPS) fellowship through the Australian Academy of Science. He worked previously a^90% in Q1 and the top 10% of Journal articles, more than 100 in IEEE/ACM Transactions) and 11 authored/edited books. He is a Senior Member of the IEEE and the founding chair of the IEEE Northern Territory (NT) Subsection. He serves as theAssociate Editor of IEEE Transactions on Computational Social Systems, IEEE Transactions on Network and Service Management (TNSM), IEEE Internet of Things Journal, ACM Digital Threats: Research and Practice, and Complex & Intelligent Systems.
Bhavesh Gohil is an Assistant Professor at the Department of Computer Science and Engineering, Sardar Vallabhbhai National Institute of Technology(SVNIT), Surat. He received a Ph.D. degree from the same institute and his research interests include Security and performance issues in Distributed/Cloud/Fog/Edge/Mobile systems/computing.
Pethuru Raj is a chief architect and vice president in the Edge AI division of Reliance Jio Platforms Ltd. Bangalore. He has over 23 years of IT industry experience and 08 years of research experience. He completed his Ph.D. degree at Anna University, Chennai, and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. He was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has published over 45 research papers in peer-reviewed journals, authored/edited 43 books, and contributed 20 book chapters for various technology books edited by highly acclaimed and accomplished professors and professionals. His research interests focus on emerging technologies such as IoT, artificial intelligence, big and fast data analytics, blockchain, digital twins, cloud-native computing, edge/fog clouds, reliability engineering, microservices architecture, event-driven architecture (EDA), etc.

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This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe.

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9789819935710: Security, Privacy and Data Analytics: Select Proceedings of the 2nd International Conference, ISPDA 2022: 1049 (Lecture Notes in Electrical Engineering)

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ISBN 10:  9819935717 ISBN 13:  9789819935710
Editorial: Springer-Verlag GmbH, 2024
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, net. Nº de ref. del artículo: 870624392

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe. 440 pp. Englisch. Nº de ref. del artículo: 9789819935680

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe. Nº de ref. del artículo: 9789819935680

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Buch. Condición: Neu. Neuware -This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch. Nº de ref. del artículo: 9789819935680

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Hardcover. Condición: new. Hardcover. This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789819935680

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Rao, Udai Pratap (Editor)/ Alazab, Mamoun (Editor)/ Gohil, Bhavesh N. (Editor)/ Chelliah, Pethuru Raj (Editor)
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