List of Figures xv
List of Tables xix
Foreword xxi
Preface xxiii
Acknowledgments xxv
Acronyms xxvii
Part I Security Designs for the Cloud Network
1 Encryption Algorithm for Data Security in Cloud Computing 3
Anindita Desarkar, Ajanta Das
1.1 Introduction 4
1.2 Related Work 4
1.3 Cloud Computing - A Brief Overview 5
1.3.1 Essential Characteristics 5
1.3.2 Layers of Cloud Computing 6
1.3.3 Cloud Deployment Models 7
1.4 Data Security in Cloud Storage 7
1.4.1 Security Issues in Cloud 7
1.4.2 Symmetric Encryption Algori 8
1.4.3 Asymmetric Encryption Algorithms 12
1.4.4 Security Enhancement in Cloud Using Encryption Algorithms: Observations 15
1.5 Comparison of Encryption Algorithms 16
1.6 Performance Analysis of Encryption Algorithms in Cloud 16
1.7 Conclusion 17
References 17
2 Analysis of Security Issues in Cloud Environment 19
Sushruta Mishra, Nitin Tripathy, Brojo Kishore Mishra, Chandrakanta Mahanty
2.1 An Insight into Cloud Computing 20
2.2 Critical Challenges Concerning Cloud Computing 21
2.2.1 Data Protection 21
2.2.2 Data Recovery and Availability 22
2.2.3 Management Capacities 22
2.2.4 Regulatory and Compliance Restrictions 22
2.3 Basic Models Governing Cloud Computing 22
2.3.1 Cloud Computing Models 23
2.3.2 Security Concerns of Cloud Computing 23
2.4 Security Countermeasures in Cloud Computing 26
2.4.1 Countermeasures for Communication Issues 26
2.4.2 Countermeasures for Architecture Security 26
2.4.3 Countermeasures for Challenges Inherited from Network Concepts 27
2.4.4 Countermeasures for CAS Proposed Threats 28
2.5 Discussion of an Implemented SDN Security Framework 29
2.5.1 System Design 29
2.5.2 Phase 1: User Authentication Phase 30
2.5.3 Phase 2: Controller Assignment Phase 31
2.5.4 Phase 3: Communication Phase 33
2.6 Result Analysis 35
2.6.1 Simulation Environment 35
2.6.2 Analysis of Different Attacks 35
2.6.3 Comparative Analysis 36
2.7 Conclusion 40
References 40
3 Security and Challenges in Mobile Cloud Computing 43
Ankur Dumka, Minakshi Memoria, Alaknanda Ashok
3.1 Introduction 44
3.1.1 Mobile Cloud Computing 44
3.1.2 Internet of Things and Cloud Computing 46
3.2 Literature Review 46
3.3 Architecture of Integration of Mobile Cloud Computing with IoT 46
3.3.1 Infrastructural or Architectural Issues 49
3.3.2 Privacy Issues 52
3.3.3 Compliance Issues 53
3.4 Proposed Preventive Measure for Security in MCC 54
3.5 Conclusion 55
References 55
4 Fog Computing and Its Security Issues 59
Jyotir Moy Chatterjee, Ishaani Priyadarshini, Shankeys, and DacNhuong Le
4.1 Introduction 60
4.2 Current Fog Applications 62
4.2.1 Why Do We Need Fog? 62
4.2.2 What Can We Do with Fog? 63
4.3 Security and Privacy in Fog Computing 66
4.3.1 Trust and Authentication 66
4.3.2 Man-in-the-Middle Attacks (MITM) 66
4.3.3 Network Security 68
4.3.4 Secure Data Storage 69
4.4 Secure and Private Data Computation 69
4.4.1 Privacy 70
4.4.2 Access Control 71
4.4.3 Intrusion Detection 71
4.5 Conclusion 71
References 73
5 Application Safety and Service Vulnerability in Cloud Network 77
Sudipta Sahana, Debabrata Sarddar
5.1 Introduction 78
5.1.1 Introduction to Security Issues in Cloud Service Models 78
5.1.2 Security Issues in SaaS 78
5.1.3 Security Issues in PaaS 79
5.1.4 Security Issues in IaaS 79
5.2 Security Concerns of Cloud Computing 80
5.2.1 Data Breaches 80
5.2.2 Hijacking of Accounts 81
5.2.3 Insider Threat 81
5.2.4 Malware Injection 82
5.2.5 Abuse of Cloud Services 82
5.2.6 Insecure APIs 82
5.2.7 Denial of Service Attacks 83
5.2.8 Insufficient Due Diligence 83
5.2.9 Shared Vulnerabilities 84
5.2.10 Data Loss 84
5.3 Security Tools in Cloud 84
5.3.1 Qualys 85
5.3.2 CipherCloud 85
5.3.3 Okta 86
5.3.4 Skyline Networks 86
5.3.5 Bitglass 86
5.3.6 WhiteHat Security 87
5.3.7 Proofpoint 87
5.3.8 docTrackr 87
5.3.9 Centrify 87
5.3.10 Vaultive 88
5.3.11 Zscaler 88
5.3.12 SilverSky 88
5.4 Cloud Service Vulnerabilities 89
5.4.1 Visibility and Control Reduction at the Consumer End 89
5.4.2 On-Demand SelfService Simplifies Unauthorized Use 89
5.4.3 Web-Based Organization APIs Can Be Compromised 90
5.4.4 Separation among Multi-Tenant Fails 90
5.4.5 Incomplete Data Deletion 90
5.4.6 Stolen Credentials 90
5.4.7 Increased Complexity Strains IT Staff 91
5.4.8 Vendor Lock-In Complicates Moving to Other CSPs 91
5.4.9 Insiders Abuse Authorized Access 91
5.4.10 Stored Data is Lost 92
5.4.11 CSP Supply Chain Can Be Compromised 92
5.4.12 Inadequate Due Diligence Amplifies Cyber Threat 92
5.5 Cloud Computing Security Best Practices 92
5.5.1 Cloud Data Encryption 92
5.5.2 Identity and Access Management 93
5.5.3 Network Segmentation 93
5.5.4 Disaster Recovery 93
5.5.5 Vulnerability Management 93
5.5.6 Monitoring, Altering and Reporting 94
5.6 Conclusion 94
References 94
Part II Security Designs for the Internet of Things and Social Networks
6 IoT Security and Privacy Preservation 99
Bright Keswan, Tarini Ch. Mishra, Ambarish G. Mohapatra, Poonam Keswani
6.1 Introduction 100
6.2 Review of Existing Technology 101
6.3 Research Design 101
6.4 Methodology 103
6.4.1 AWS IoT 103
6.4.2 ARM Mbed IoT 104
6.4.3 Azure IoT Suite 106
6.5 Implication and Findings 106
6.5.1 Ethical 106
6.5.2 Legal 107
6.5.3 Social 107
6.6 Future Scope 108
6.7 Conclusion 108
References 109
7 Automation Movie Recommender System Based on Internet of Things and Clustering 113
Lalit Mohan Goyal, Mamta Mittal, Asheesh Sharma
7.1 Introduction 114
7.2 Background 115
7.2.1 Characteristics of IoT 115
7.2.2 Evolution of IoT 115
7.2.3 Trends in IoT 116
7.2.4 Requirements of IoT 116
7.2.5 IoT Elements 116
7.2.6 Architecture of IoT 117
7.2.7 Application Domain of IoT 117
7.2.8 IoT Technology 119
7.2.9 The Present and Future of IoT 121
7.2.10 IoT Challenges 121
7.2.11 Scope of IoT 122
7.3 Related Works 122
7.4 Proposed System 123
7.5 Implementation 124
7.6 Conclusion 127
References 127
8 Societal Implications of Emerging Technologies (SMAC) and Related Privacy Challenges 129
Manikant Roy, Amar Singh, Sukanta Ghosh, Nisha Sethi
8.1 Introduction to Data Analytics 130
8.1.1 Descriptive Analytics 131
8.1.2 Diagnostic Analytics 131
8.1.3 Prescriptive Analytics 131
8.1.4 Exploratory Analytics 132
8.1.5 Predictive Analytics 133
8.1.6 Mechanistic, Causal and Inferential Analytics 133
8.2 Privacy Concerns Related to Use of Data Analytics 133
8.2.1 Immoral Actions Based on Analyses 133
8.2.2 Discrimination 134
8.2.3 Privacy Breaches 134
8.2.4 Inaccuracy of Data Analytics 134
8.2.5 E-Discovery Angst 134
8.2.6 Understanding Cloud Basics 134
8.3 Issues 137
8.3.1 Challenges 137
8.3.2 Services of Cloud 137
8.4 Social Media 138
8.4.1 Introduction 138
8.4.2 Societal Implication of Social Network 139
8.5 Conclusion 139
References 140
9 Implementation of REST Architecure-Based Energy-Efficient Home Automation System 143
Shankey Garg, Jyotir Moy Chatterjee, Dac-Nhuong Le
9.1 Introduction 144
9.2 Related Work 144
9.3 RESTful Web Server 144
9.4 Why and How REST is More Suitable for IoT 145
9.5 Architecture of Arduino-Based Home Automation System 146
9.6 Implementation Details 146
9.7 Why Arduino? 147
9.8 Result Analysis 147
9.8.1 Power Consumption without Automation 148
9.8.2 Power Consumption with IoT 148
9.8.3 Total Power Consumption Analysis 149
9.9 Conclusion and Future Scope 150
References 151
10 The Vital Role of Fog Computing in Internet of Things 153
Vikram Puri, Jolanda G Tromp, Chung Van Le, Nhu Gia Nguyen, Dac-Nhuong Le
10.1 Introduction 154
10.2 Related Studies 155
10.3 IoT Principles and Applications 156
10.4 Different IoT Domains 157
10.4.1 Autonomous Cars 157
10.4.2 Healthcare 157
10.4.3 Smart Home 158
10.4.4 Industry 4.0 158
10.5 Issues in Fog Computing Regarding Security and Privacy 158
10.5.1 Authentication 159
10.5.2 Trust 160
10.5.3 Attacks 160
10.5.4 End User Privacy 160
10.5.5 Secure Communication between Fog Nodes 161
10.6 Conclusion 161
References 161
Part III Security Designs for Solutions and Applications
11 The Role of Information-Centric Security in the Modern Arena of Information Technology 167
Sushree Bibhuprada, Dac-Nhuong Le, B. Priyadarshini
11.1 Introduction 168
11.2 Complete Solution to Data Security 169
11.2.1 Confidentiality 169
11.2.2 Integrity 169
11.2.3 Availability 170
11.3 Intrusion Detection and Security 170
11.3.1 Divergent Type of Intrusion Detection System 170
11.3.2 Potentiality of Intrusion Detection Systems 172
11.3.3 Advantage of Intrusion Detection Systems 173
11.4 IPS vs. IDS 173
11.5 Relevant Methods to Increase Data Safety 174
11.5.1 Limit Data Access 174
11.5.2 Identification of Sensitive Data 174
11.5.3 Pre-Planned Data Security Policy 175
11.5.4 Strong and Different Passwords for Every Department 175
11.5.5 Regular Data Backup and Update 175
11.6 Conclusion 175
References 176
12 Enabling Mobile Technology for Healthcare Service Improvements 179
Bhumi Dobaria, Chintan Bhatt
12.1 Introduction 180
12.1.1 Healthcare System in India 180
12.1.2 What is mHealth? 180
12.1.3 Worldwide mHealth Scenario 181
12.1.4 mHealth and Its Scope in India 181
12.2 System Design 182
12.2.1 Application Server 183
12.2.2 File System 183
12.2.3 Client 183
12.3 Result Analysis 183
12.4 Conclusion 188
References 189
13 Optimization of Ontology-Based Clinical Pathways and Incorporating Differential Privacy in the Healthcare System 191
Soumya Banerjee, Rachid Benlamri, Samia Bouzefrane
13.1 Introduction 192
13.2 Ontological Structure of Clinical Pathways 194
13.3 Proposed Model 195
13.3.1 Elements of Optimization in CP 196
13.3.2 Functional Model of Differential Privacy 196
13.3.3 About the Data Visualization 199
13.3.4 Validation of Results 199
13.4 Conclusion and Further Scope of Research 202
References 203
14 Advancements and Applications in Fog Computing 207
Sumit Bansal, Mayank Aggarwal, Himanshu Aggarwal
14.1 Introduction 208
14.1.1 Cloud Computing 208
14.1.2 Internet of Things 208
14.1.3 Fog Computing 209
14.2 Fog Computing Architecture 210
14.2.1 Features of Fog Computing 210
14.2.2 Architecture of Fog Computing 211
14.2.3 Components of Fog Computing 212
14.3 Communication in Fog Computing 214
14.3.1 Communication Steps 214
14.3.2 Discovery and Detection of ICOs 214
14.3.3 Models of Communication 215
14.3.4 Communication Protocols 215
14.3.5 Communication Protocol Requirements 216
14.3.6 Methods of Data Collection 216
14.4 Application or Programming Models 218
14.4.1 Sense-Process-Actuate Model 218
14.4.2 Stream Processing Model 218
14.4.3 Benefits of Fog over Cloud Computing 219
14.4.4 Simulator Tool 220
14.5 Simulation-Based Experiments 221
14.6 Scheduling 225
14.6.1 Classification of Scheduling 225
14.6.2 Need for Scheduling 225
14.6.3 Existing Scheduling Algorithms 226
14.7 Challenges in Fog Computing 227
14.7.1 Connectivity Challenges 227
14.7.2 Context Awareness 227
14.7.3 Data Handling 228
14.7.4 Security 228
14.7.5 Privacy 229
14.7.6 Pluggable Architecture 229
14.7.7 Sustainability 229
14.7.8 Network and Storage 230
14.8 Use Case Scenarios 230
14.8.1 Smart Home 230
14.8.2 Smart Rail 232
14.8.3 Smart Healthcare 233
14.8.4 Smart Agriculture 234
14.8.5 Future Applications 235
14.9 Emerging Trends 236
14.10 Conclusion 236
References 237
15 Taxonomy of Cyber-Physical Social Systems in Intelligent Transportation 241
Dhiraj, Anil Saini
15.1 Introduction 242
15.2 General Overview of CPSS in Intelligent Transportation 243
15.2.1 What is CPS? 243
15.2.2 Transition from CPS to CPSS 243
15.2.3 CPSS in Transportation 244
15.3 Conceptual Framework of CPSS in Transportation 244
15.4 Research Challenges 248
15.5 Discussion and Conclusion 248
References 249
16 Cyberspace for Smart Parenting with Sensors 253
Alok Ranjan Prusty
16.1 Background 254
16.2 Internet of Things 254
16.2.1 Machine to Machine 255
16.2.2 Smart Wearables 255
16.2.3 Smart Parenting 256
16.2.4 Accelerometer Sensor 257
16.2.5 Pulse Sensor 257
16.3 Project 257
16.4 Steps and Working Principle 259
16.5 Result and Analysis 260
16.6 Conclusions 262
References 262
