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Produktbild: Machine Learning Techniques and Analytics for Cloud Security

Machine Learning Techniques and Analytics for Cloud Security

Aus der Reihe Advances in Learning Analytics for Intelligent Cloud-IoT Systems

269,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

21.12.2021

Herausgeber

Rajdeep Chakraborty + weitere

Verlag

John Wiley & Sons

Seitenzahl

480

Maße (L/B/H)

26,9/18,5/3,3 cm

Gewicht

975 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-76225-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

21.12.2021

Herausgeber

Verlag

John Wiley & Sons

Seitenzahl

480

Maße (L/B/H)

26,9/18,5/3,3 cm

Gewicht

975 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-76225-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Machine Learning Techniques and Analytics for Cloud Security
  • Preface xix
     
    Part I: Conceptual Aspects on Cloud and Applications of Machine Learning 1
     
    1 Hybrid Cloud: A New Paradigm in Cloud Computing 3
    Moumita Deb and Abantika Choudhury
     
    1.1 Introduction 3
     
    1.2 Hybrid Cloud 5
     
    1.2.1 Architecture 6
     
    1.2.2 Why Hybrid Cloud is Required? 6
     
    1.2.3 Business and Hybrid Cloud 7
     
    1.2.4 Things to Remember When Deploying Hybrid Cloud 8
     
    1.3 Comparison Among Different Hybrid Cloud Providers 9
     
    1.3.1 Cloud Storage and Backup Benefits 11
     
    1.3.2 Pros and Cons of Different Service Providers 11
     
    1.3.2.1 AWS Outpost 12
     
    1.3.2.2 Microsoft Azure Stack 12
     
    1.3.2.3 Google Cloud Anthos 12
     
    1.3.3 Review on Storage of the Providers 13
     
    1.3.3.1 AWS Outpost Storage 13
     
    1.3.3.2 Google Cloud Anthos Storage 13
     
    1.3.4 Pricing 15
     
    1.4 Hybrid Cloud in Education 15
     
    1.5 Significance of Hybrid Cloud Post-Pandemic 15
     
    1.6 Security in Hybrid Cloud 16
     
    1.6.1 Role of Human Error in Cloud Security 18
     
    1.6.2 Handling Security Challenges 18
     
    1.7 Use of AI in Hybrid Cloud 19
     
    1.8 Future Research Direction 21
     
    1.9 Conclusion 22
     
    References 22
     
    2 Recognition of Differentially Expressed Glycan Structure of H1N1 Virus Using Unsupervised Learning Framework 25
    Shillpi Mishrra
     
    2.1 Introduction 25
     
    2.2 Proposed Methodology 27
     
    2.3 Result 28
     
    2.3.1 Description of Datasets 29
     
    2.3.2 Analysis of Result 29
     
    2.3.3 Validation of Results 31
     
    2.3.3.1 T-Test (Statistical Validation) 31
     
    2.3.3.2 Statistical Validation 33
     
    2.3.4 Glycan Cloud 37
     
    2.4 Conclusions and Future Work 38
     
    References 39
     
    3 Selection of Certain Cancer Mediating Genes Using a Hybrid Model Logistic Regression Supported by Principal Component Analysis (PC-LR) 41
    Subir Hazra, Alia Nikhat Khurshid and Akriti
     
    3.1 Introduction 41
     
    3.2 Related Methods 44
     
    3.3 Methodology 46
     
    3.3.1 Description 47
     
    3.3.2 Flowchart 49
     
    3.3.3 Algorithm 49
     
    3.3.4 Interpretation of the Algorithm 50
     
    3.3.5 Illustration 50
     
    3.4 Result 51
     
    3.4.1 Description of the Dataset 51
     
    3.4.2 Result Analysis 51
     
    3.4.3 Result Set Validation 52
     
    3.5 Application in Cloud Domain 56
     
    3.6 Conclusion 58
     
    References 59
     
    Part II: Cloud Security Systems Using Machine Learning Techniques 61
     
    4 Cost-Effective Voice-Controlled Real-Time Smart Informative Interface Design With Google Assistance Technology 63
    Soumen Santra, Partha Mukherjee and Arpan Deyasi
     
    4.1 Introduction 64
     
    4.2 Home Automation System 65
     
    4.2.1 Sensors 65
     
    4.2.2 Protocols 66
     
    4.2.3 Technologies 66
     
    4.2.4 Advantages 67
     
    4.2.5 Disadvantages 67
     
    4.3 Literature Review 67
     
    4.4 Role of Sensors and Microcontrollers in Smart Home Design 68
     
    4.5 Motivation of the Project 70
     
    4.6 Smart Informative and Command Accepting Interface 70
     
    4.7 Data Flow Diagram 71
     
    4.8 Components of Informative Interface 72
     
    4.9 Results 73
     
    4.9.1 Circuit Design 73
     
    4.9.2 LDR Data 76
     
    4.9.3 API Data 76
     
    4.10 Conclusion 78
     
    4.11 Future Scope 78
     
    References 78
     
    5 Symmetric Key and Artificial Neural Network With Mealy Machine: A Neoteric Model of Cryptosystem for Cloud Security 81
    Anirban Bhowmik, Sunil Karforma and Joydeep Dey
     
    5.1 Introduction 81
    &