book

Real-Time Data Analytics for Large Scale Sensor Data

by Himansu Das, Nilanjan Dey, Valentina Emilia Balas

August 2019

Beginner to intermediate

298 pages

8h 39m

English

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Contents

AbstractGraphical Abstract1.1 Introduction1.2 Material and methods1.3 Results1.4 Discussion1.5 Conclusion
AbstractAcknowledgments2.1 Introduction2.2 Computing system of IoT technology in healthcare activities2.3 Proposed model and its implementation2.4 Working mechanism of device2.5 Uses and discussion of the device2.6 Conclusion
AbstractAcknowledgments3.1 Introduction3.2 Preliminaries3.3 Resilient IoT network3.4 Code tamper-proofing3.5 Experimental result3.6 Conclusion
Abstract4.1 Introduction4.2 Overview of wireless IoT communication networks for PMUs4.3 Monte-Carlo simulation models4.4 Optimum PMU placement4.5 Case study4.6 Conclusion and directions for future research

Abstract5.1 Introduction5.2 Related work5.3 Preliminaries5.4 System model5.5 Construction of LCP-ABE5.6 Security analysis5.7 Performance analysis5.8 Conclusion
Abstract6.1 Introduction6.2 Literature survey6.3 Description of flame shape and burner system6.4 LSTM for flame shape-based combustion quality prediction model6.5 Objective of the work6.6 Hypothesis of this work6.7 Experimental environment and data preparation6.8 Experimental results and discussion6.9 Conclusion
AbstractAcknowledgments7.1 Introduction7.2 Literature review7.3 Rationale and fundamentals7.4 Methodology7.5 Experimental design7.6 Results and evaluation7.7 Conclusions and future work
Abstract8.1 Introduction8.2 Background8.3 Overall design structure8.4 System implementation8.5 A proof-of-concept case study8.6 Related work8.7 Conclusion and future work
Abstract9.1 Introduction9.2 The need for security9.3 Creating and maintaining trusted execution environments (TEE)9.4 Security by separation9.5 Blockchain for trusted communication9.6 Context-aware security9.7 Technologies integration in a comprehensive security architecture for IoT devices9.8 Literature review9.9 Conclusion
Abstract10.1 Introduction10.2 Methodology10.3 System design10.4 Results10.5 ConclusionAppendix 1: Implementation screenshots

Content preview from Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data, Volume Six

First Edition

Series Editors

Nilanjan Dey

Amira S. Ashour

Simon James Fong

Volume Editors

Himansu Das

Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

Nilanjan Dey

Techno India College of Technology, Kolkata, India

Valentina Emilia Balas

"Aurel Vlaicu" University of Arad, Arad, Romania

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Publisher Resources

ISBN: 9780128182420