Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops : MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5{u2013}7, 2020, Proceedings

This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, in Neos Marmaras, Greece, in June 2020: the 9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020.\* The 6 full papers and 3 short papers presented at MHDW 2020 were carefully reviewed and selected from 16 submissions; out of the 23 papers submitted to 5G-PINE 2020, 11 were accepted as full papers and 1 as a short paper. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and deal with topics such as the Internet of Things, intelligence fusion in 5G networks, and 5G media. \*The workshops were held virtually due to the COVID-19 pandemic. Preface 6 AIAI 2020 Workshops 6 9th Mining Humanistic Data Workshop (MHDW 2020) 7 5th Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE 2020) 7 Organization AIAI 2020 8 Preface 12 Organization 5G-PINE 2020 14 Preface 18 Organization MHDW 2020 19 Contents 20 5th Workshop on “5G-Putting Intelligence to the Network Edge” (5G-PINE 2020) 23 A Framework to Support the 5G Densification 24 Abstract 24 1 Introduction 24 2 5G-PHOS Solution Overview 25 3 5G-PHOS Architecture for Representative Use Cases 27 4 5G-PHOS Architectural Instantiations 30 5 Discussion 34 Acknowledgements 34 References 34 A New Approach to 5G and MEC Integration 36 1 Introduction 36 2 State of the Art 37 3 Scalable MEC-enabled Network Slicing Architecture 38 3.1 Fundamentals of the Concept 38 3.2 Inclusion of the MEC Framework into the 5G Network Slicing Architecture 39 3.3 Scalable MEC-enabled Slicing Architecture 41 4 5G-MEC Implementation Details 42 4.1 MEC Service APIs 42 4.2 Application Mobility in Demanding Use Cases 43 4.3 Service Continuity in Roaming 43 4.4 Availability of 5G Enablers for MEC 43 5 Summary and Conclusions 44 References 44 Business Aspects of the Neutral Host Model: The Immersive Video Services Case 46 Abstract 46 1 Introduction 46 2 The Neutral Host Business Model 48 2.1 External Aspects 48 2.2 Internal Aspects 49 3 Technoeconomic Analysis 50 3.1 Technoeconomic Scenarios 50 3.2 Technoeconomic Methodology 51 3.3 Demand Forecast 52 4 Results 52 4.1 Financial Results 52 4.2 Sensitivity and Risk Analysis 53 5 Conclusions 54 Acknowledgment 55 References 55 Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event 56 Abstract 56 1 Introduction 56 2 Basic Architecture and Use Case Description 57 3 Technical Enablers and Functionalities 60 4 Pilot Description 62 5 Market Projection 63 6 Conclusion 65 Acknowledgments 65 References 65 Dynamic Network Slicing: Challenges and Opportunities 68 Abstract 68 1 Introduction 68 2 Trends Towards Defining Dynamic Network Slicing 70 3 Dynamic E2E Network Slicing as Enabler for 5G Promotion 73 4 Market and Regulatory Challenges 75 5 Conclusion 77 Acknowledgments 78 References 78 Dynamic Resource Allocation and Computation Offloading for Edge Computing System 82 1 Introduction 82 2 System Model 83 2.1 Local Execution Model 84 2.2 Uplink Transmission 85 2.3 Fog Execution Model 86 2.4 Energy Harvesting Model 86 3 Problem Formulation 86 4 Proposed Solution 88 4.1 Optimal Execution Strategy 89 4.2 Optimal Power Allocation and Subcarrier Assignment 89 5 Performance Evaluations 92 6 Conclusion 93 References 93 Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures 95 1 Introduction and Related Work 95 2 NFV-Based Intelligent Orchestration Cycle 96 2.1 Network Architecture 97 2.2 System and Service Monitoring and Alert Mitigation 98 2.3 MCPTT Service Architecture 100 2.4 RAN Controller Architecture 101 3 Orchestration Cycle for MCPTT Deployments 102 3.1 Monitoring Metrics and Mitigation Action Definition 102 3.2 Scenario Definition and Deployment Results 102 4 Conclusions and Future Work 104 References 104 On the Prediction of Future User Connections Based on Historical Records in Wireless Networks 105 Abstract 105 1 Introduction 105 2 Proposed Methodology 107 3 Considered Supervised Learning Algorithms 109 4 Results 110 4.1 Example of the AP Prediction Methodology 110 4.2 Comparison of the Different Proposed Approaches 111 4.3 Impact of the Amount of Data Used for Training 113 4.4 Impact of the Size of the Sliding Window 113 5 Conclusions 114 Acknowledgements 114 References 114 Programmable Edge-to-Cloud Virtualization for 5G Media Industry: The 5G-MEDIA Approach 116 1 Introduction 117 2 5G-MEDIA High Level Architecture 117 2.1 Service Development Kit 118 2.2 5G-MEDIA Service Virtualization Platform 119 3 5G-MEDIA Use Cases 121 3.1 Tele-Immersive Gaming 121 3.2 Mobile Contribution, Remote and Smart Media Production 122 3.3 Ultra HD over Content Delivery Networks 123 3.4 Cross-Cutting Scenarios 124 4 Conclusions 124 References 124 Protocol Deployment for Employing Honeypot-as-a-Service 126 Abstract 126 1 Introduction 126 2 Architecture 127 3 Pilots’ Deployment Protocol for YAKSHA Data Flow Compliance 131 4 Deployment Protocol for the IoT Use Case 132 5 Conclusion 135 Acknowledgments 135 References 135 Threat Landscape of Next Generation IoT-Enabled Smart Grids 137 1 Introduction 137 2 Background 138 3 Next Generation Smart Grid Apparatus 139 3.1 Smart Grid Infrastructure 139 3.2 Cloud Computing Infrastructure 141 3.3 IoT Infrastructure 141 4 Threat Landscape 141 4.1 Smart Grid Attacks 141 4.2 Cloud Attacks 144 4.3 IoT Attacks 145 5 Conclusion and Future Work 147 References 147 Towards a Smart Port: The Role of the Telecom Industry 149 1 Introduction 149 2 Related Work 151 3 DataPorts Conceptualization 154 4 Challenges and Opportunities 155 5 Conclusion and Future Work 159 References 159 9th Mining Humanistic Data Workshop (MHDW 2020) 161 A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes 162 1 Introduction 162 2 Graphical Extension of Set-Based Model Using Important Nodes 164 2.1 Rational Path Graph 164 2.2 Edge Pruning 165 2.3 Important Nodes Detection 166 2.4 Union Graph and Graphs Weights 167 3 Documents and Query Representation 168 3.1 Weighting Process 168 3.2 Document Representation and Similarity 169 4 Results and Discussion 169 5 Conclusions and Future Work 172 References 173 A Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques 174 1 Introduction 174 2 Related Work 176 3 System Architecture 177 3.1 Hotel Reviews Sentiment Analysis API 177 3.2 Storage 178 3.3 Sentiment Analysis Infrastructure 178 4 Implementation 180 4.1 Long Short Term Memory (LSTM) Neural Networks 181 4.2 Latent Dirichlet Allocation (LDA) 181 5 Conclusions and Future Work 182 References 182 An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement 184 1 Introduction 184 2 Natural Gas Forecasting: State of the Art 186 3 CNN-LSTM Model for Short-Term Forecasting Natural Gas 187 4 Data 188 5 Experimental Methodology 188 6 Discussion and Conclusions 193 References 195 Fake News Detection Regarding the Hong Kong Events from Tweets 196 1 Introduction 196 2 Related Work 197 3 Data Set 198 3.1 Fake News 198 3.2 Real News 199 4 Features 199 4.1 Linguistic Features 200 4.2 Network Features 201 5 Methodology 201 5.1 SMOTE Over-Sampling 201 5.2 Feature Selection 202 6 Experiments and Results 202 7 Conclusions and Future Work 203 References 204 Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses 206 1 Introduction 206 2 Related Work 207 3 Preliminaries 209 3.1 Text Representation 209 3.2 Tf/Idf 209 3.3 BM25 210 3.4 Principal Component Analysis 210 3.5 Similarity Metrics 210 3.6 User Based Collaborative Filtering 210 3.7 Item Based Collaborative Filtering 210 3.8 Weighted Sum 211 4 Implementation 211 4.1 Dataset 211 4.2 Input Data for the Clustering Algorithm 213 5 Evaluation 214 6 Conclusions and Future Work 217 References 217 The Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics 219 1 Introduction 219 2 Previous Work 221 3 Analytics 221 3.1 Implementation 221 3.2 Ties to Behavioral Economics and Cognitive Science 222 3.3 Analytics 223 3.4 Implicit Adjacency Tensor Format 227 4 Results 228 4.1 Dataset 228 4.2 Accuracy 229 5 Conclusions and Future Work 229 References 230 Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window 232 Abstract 232 1 Introduction 232 2 Preliminaries 234 2.1 Maximal Motif Discovery Algorithm 234 2.2 Adding a Letter from the Right 235 2.3 Deleting a Letter from the Left 237 3 Experimental Results and Contribution 237 3.1 Contribution 237 3.2 Implementation 238 3.3 Results 239 4 Conclusions and Future Work 239 Appendix 240 References 242 Fingerprints Recognition System-Based on Mobile Device Identification Using Circular String Pattern Matching Techniques 244 Abstract 244 1 Introduction 244 2 Literature Review 245 3 Our Contribution 245 3.1 Fast Novel Minutiae Extraction 246 3.2 Outline of the Algorithm 247 4 Experimental Results 248 5 Conclusion 249 References 250 Mining and Analysis of Air Quality Data to Aid Climate Change 251 1 Introduction 251 1.1 Motivation 251 1.2 Research Objective 252 2 Background 252 2.1 Data Mining Approach 253 3 Research Challenges 253 3.1 Technical Challenges 254 4 Data Analysis 256 5 Results and Discussion 257 6 Conclusion 260 7 Future Work 260 References 261 Author Index 263 Front Matter ....Pages i-xxi Front Matter ....Pages 1-1 A Framework to Support the 5G Densification (Eleni Theodoropoulou, Ioanna Mesogiti, George Lyberopoulos, George Kalfas, Christos Vagionas, Nikos Pleros et al.)....Pages 3-14 A New Approach to 5G and MEC Integration (Lechosław Tomaszewski, Sławomir Kukliński, Robert Kołakowski)....Pages 15-24 Business Aspects of the Neutral Host Model: The Immersive Video Services Case (Ioannis Neokosmidis, Vangelis Logothetis, Theodoros Rokkas, Luca Vignaroli, Davide Desirello, Antonino Albanese et al.)....Pages 25-34 Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event (Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Pavlos Lazaridis, Michail-Alexandros Kourtis, Zaharias Zaharis, Alexandros Kostopoulos)....Pages 35-46 Dynamic Network Slicing: Challenges and Opportunities (Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Pavlos Lazaridis, Athanassios Dardamanis, Zaharias Zaharis, Alexandros Kostopoulos)....Pages 47-60 Dynamic Resource Allocation and Computation Offloading for Edge Computing System (Zheng Chang, Liqing Liu, Xijuan Guo, Tao Chen, Tapani Ristaniemi)....Pages 61-73 Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures (Bego Blanco, Rubén Solozabal, Aitor Sanchoyerto, Javier López-Cuadrado, Elisa Jimeno, Miguel Catalan-Cid)....Pages 74-83 On the Prediction of Future User Connections Based on Historical Records in Wireless Networks (Seyedeh Soheila Shaabanzadeh, Juan Sánchez-González)....Pages 84-94 Programmable Edge-to-Cloud Virtualization for 5G Media Industry: The 5G-MEDIA Approach (Stamatia Rizou, Panagiotis Athanasoulis, Pasquale Andriani, Francesco Iadanza, Panagiotis Trakadas, David Griffin et al.)....Pages 95-104 Protocol Deployment for Employing Honeypot-as-a-Service (Alexandros Kostopoulos, Ioannis P. Chochliouros, Constantinos Patsakis, Miltos Anastasiadis, Alessandro Guarino)....Pages 105-115 Threat Landscape of Next Generation IoT-Enabled Smart Grids (Theodoros Mavroeidakos, Vasilis Chaldeakis)....Pages 116-127 Towards a Smart Port: The Role of the Telecom Industry (Christos-Antonios Gizelis, Theodoros Mavroeidakos, Achilleas Marinakis, Antonis Litke, Vrettos Moulos)....Pages 128-139 Front Matter ....Pages 141-141 A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes (Nikitas-Rigas Kalogeropoulos, Ioannis Doukas, Christos Makris, Andreas Kanavos)....Pages 143-154 A Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques (Agorakis Bompotas, Aristidis Ilias, Andreas Kanavos, Christos Makris, Gerasimos Rompolas, Alkiviadis Savvopoulos)....Pages 155-164 An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement (Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Stavros Stavroyiannis)....Pages 165-176 Fake News Detection Regarding the Hong Kong Events from Tweets (Maria Nefeli Nikiforos, Spiridon Vergis, Andreana Stylidou, Nikolaos Augoustis, Katia Lida Kermanidis, Manolis Maragoudakis)....Pages 177-186 Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses (Konstantina Iliopoulou, Andreas Kanavos, Aristidis Ilias, Christos Makris, Gerasimos Vonitsanos)....Pages 187-199 The Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics (Georgios Drakopoulos, Ioanna Giannoukou, Phivos Mylonas, Spyros Sioutas)....Pages 200-212 Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window (Miznah H. Alshammary, Costas S. Iliopoulos, Manal Mohamed, Fatima Vayani)....Pages 213-224 Fingerprints Recognition System-Based on Mobile Device Identification Using Circular String Pattern Matching Techniques (Miznah H. Alshammary, Costas S. Iliopoulos, Mujibur R. Khan)....Pages 225-231 Mining and Analysis of Air Quality Data to Aid Climate Change (Lakshmi Babu Saheer, Mohamed Shahawy, Javad Zarrin)....Pages 232-243 Back Matter ....Pages 245-246