Future Connected Technologies

Growing Convergence and Security Implications
1. Auflage 2023
ISBN: 978-1-032-26307-6
Verlag: CRC Press

Buch, Englisch, 248 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 543 g

The main aim of the book is to familiarize readers with the concepts of convergence of different connected and smart domains that are assisted by Cloud Computing, core technologies behind Cloud Computing, driving factors towards Cloud Computing, and security challenges and proposed solutions in Cloud Computing. The book covers not only the cloud, but also other pertinent topics such as Machine Learning, Deep Learning, IoT and Fog/Edge Computing. The last section of the book mainly focuses on the security aspects of connected technologies.

The highpoints of the book is that it reviews the relation and combination of the mentioned topics, which together creates a better understanding about almost every aspect of Cloud Computing & related technologies.

Zielgruppe

Academic

Autoren/Hrsg.

Gupta, Maanak

Tomar, Ravi

Kumar Yadav, Anuj

Sastry G, Hanumat

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

1. A Survey of Quantum Computing for Cloud Security 2. Understanding Blockchain Based Solutions for Cloud and Cyber Physical Systems 3. A Systematic Review of Access Control in Cloud Computing 4. A Secure and Efficient Approach to Smart City Initiative 5. Knowledge Representation to Expound Deep Learning Black Box 6. Heart Disease Prediction Based on Various Machine Learning Techniques 7. Cloud and Edge Computing: Architectures for future Cloud Computing 8. Edge Computing: Edge Network Layer Security 9. Current Status and Application of Data-Analytics in Cardiovascular Care 10. Edge Computing in Smart Agriculture 11. Taxonomy of Edge Computing Drive by IOT 12. Recent Trends and Challenges in Cloud Computing.

Über Autor(innen)

Maanak Gupta is an Assistant Professor in the Department of Computer Science at Tennessee Tech University, USA. He received a Ph.D. in Computer Science from the University of Texas at San Antonio and has worked as a Postdoctoral Research Fellow at the Institute for Cyber Security. He also holds an M.S. degree in Information Systems from Northeastern University, Boston. His primary area of research includes security and privacy in cyber space, Cyber Physical Systems, Cloud Computing, IoT and Big Data. His scholarly work is regularly published at top peer-reviewed security venues including ACM SIGSAC conferences and refereed journals. His research has been funded by the US National Science Foundation (NSF), NASA, US Department of Defense (DoD) and private industry.

Ravi Tomar is working as Senior Architect at Persistent Systems, Inida. Dr Tomar is an experienced academician with a history in the higher education industry. He is skilled in Programming, Computer Networking, Stream processing, Python, Oracle Database, C++, Core Java, J2EE, RPA and CorDApp. His research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, Big Data and VANET. He has delivered training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE and IoT to clients like KeyBank, Accenture, Union Bank of Philippines, Ernst and Young and Deloitte.

Anuj Kumar Yadav is an Assistant Professor in the School of Computing at DIT University, Dehradun, India. He has more than 12 years of experience in academics and research filed. His areas of research include Cloud Computing and Information Security. He has published and presented papers in International journals and conferences of repute. He has guided many students at the graduate and post graduate levels for their projects and thesis work.

Hanumat Sastry G is a Professor in the School of Computer Science at University of Petroleum and Energy Studies, India. His research areas include Optimization Algorithms, Data Science, and Vehicular Networks. He has published and presented papers in international journals and conferences of repute. He has guided many students at the doctoral and post graduate levels for their projects and thesis work.