Note: Intro -- Preface -- Organization -- CISIS 2021 -- General Chair -- Program Committee Chair -- Program Committee -- CISIS 2022: Special Sessions -- Cybersecurity in Future Connected Societies -- Program Committee -- Cybersecurity and Trusted Supply Chains of ICT -- Program Committee -- Intelligent Solutions for Cybersecurity -- Program Committee -- CISIS 2022 Organizing Committee Chairs -- CISIS 2022 Organizing Committee -- ICEUTE 2022 -- Organization -- General Chair -- Program Committee Chair -- Program Committee -- ICEUTE 2022 Organizing Committee Chairs -- ICEUTE 2022 Organizing Committee -- Contents -- CISIS Applications -- Analysis of Long-Range Forecast Strategies for IoT on Urban Water Consumption Prediction Task -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Experiment Design -- 3.3 Machine Learning Algorithms -- 4 Experimental Results -- 5 Conclusion -- References -- Genetic Algorithm Based Aggregation for Federated Learning in Industrial Cyber Physical Systems -- 1 Introduction -- 2 Related Work -- 3 FedGA-ICPS Framework -- 3.1 Industrial CPS -- 3.2 Learning -- 3.3 Election -- 3.4 Aggregation -- 3.5 Broadcasting -- 4 Experimental Results -- 5 Conclusion -- References -- Hand SOS Gesture Detection by Computer Vision -- 1 Introduction -- 2 Problem Description -- 3 Model Architecture -- 4 Model Evaluation -- 5 Conclusions -- References -- Prediction of Smart Energy Meter Network Traffic Features for Anomaly Detection -- 1 Introduction -- 2 Security Risks in Smart Metering Networks -- 3 The Methodology for the SMCN Anomaly/Attack Detection -- 3.1 Detection and Elimination of Outliers, Based on the Isolation Forest Algorithm -- 3.2 Calculation of Multi-step Prediction for Anomaly Detection with 1D CNN -- 4 Experimental Results -- 5 Conclusions -- References. , An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids -- 1 Introduction -- 2 Case of Study -- 2.1 Level Control Plant -- 2.2 System Integration and Its Control Implementation -- 2.3 Dataset -- 3 Methodological Approach -- 3.1 On-Line Identification Stage. Recursive Least Square -- 3.2 Fault Detection Stage -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Powerful Biogeography-Based Optimization Algorithm with Local Search Mechanism for Job Shop Scheduling Problem with Additional Constraints -- 1 Introduction -- 2 Job Shop Scheduling Problem with Time Lags and Single Transport Robot: JSPTL-STR -- 3 Powerful Biogeography-Based Optimization with Local Search Mechanism for Job Shop Scheduling Problem with Time Lags and Single Transport Robot -- 3.1 Habitat Representation -- 3.2 Initialization of Population -- 3.3 Migration Operator -- 3.4 Mutation Operator -- 4 Experimental Results -- 5 Conclusion -- References -- Dimensionality-Reduction Methods for the Analysis of Web Traffic -- 1 Introduction and Previous Work -- 2 Applied Methods -- 2.1 Laplacian Eigenmaps -- 2.2 Isomap -- 2.3 t-Distributed Stochastic Neighbor Embedding -- 2.4 Beta Hebbian Learning -- 3 Dataset -- 4 Results -- 4.1 Dataset 1 -- 4.2 Dataset 2 -- 5 Conclusions and Future Work -- References -- Special Session on Cybersecurity in Future Connected Societies -- About the Fujisaki-Okamoto Transformation in the Code-Based Algorithms of the NIST Post-quantum Call -- 1 Introduction -- 2 Theoretical Background -- 2.1 Security Definitions -- 2.2 Code-Based Encryption -- 3 Modern FO-Like Transformations -- 3.1 Encrypt-with-Hash -- 3.2 Implicit/Explicit Rejection -- 3.3 Definition of the Shared Secret -- 3.4 Additional Hash -- 4 FO Transformation Application in Code-Based Algorithms -- 4.1 Classic McEliece -- 4.2 BIKE -- 4.3 HQC. , 5 Conclusions -- References -- Analysis of Secret Key Agreement Protocol for Massive MIMO Systems -- 1 Introduction -- 2 System Model -- 3 Proposed SKA -- 3.1 Precoding Design -- 3.2 Protocol Design -- 4 Simulation Results -- 4.1 Secrecy Capacity -- 4.2 SKA Complexity -- 5 Conclusion -- References -- Efficient Implementation of Stream Cipher SNOW 3G for Resource-Constrained Devices -- 1 Introduction -- 2 SNOW 3G Description -- 3 Equivalent Binary Model of LFSR in GF(2n) -- 4 Efficient Implementation -- 5 Performance Evaluation -- 6 Conclusions -- References -- State of the Art of Cybersecurity in Cooperative, Connected and Automated Mobility -- 1 Introduction -- 2 CCAM Ecosystem -- 3 Challenges in CCAM Solutions -- 4 CCAM Cybersecurity -- 4.1 Threats and Attack Analysis -- 4.2 Cyberattack Target Examples -- 4.3 Cybersecurity Methodologies in the CCAM Development Process -- 5 Cryptography -- 5.1 Post-quantum Cryptography -- 5.2 Lightweight Cryptography -- 6 Conclusions -- References -- Cryptographic Protocols in Advanced Metering Infrastructures in Smart Grids -- 1 Introduction -- 2 Smart Grids and Advanced Metering Infrastructures -- 3 Security in Advanced Metering Infrastructures -- 4 Cryptographic Protocols to Secure Advanced Metering Infrastructures -- 5 Conclusions -- References -- Special Session on Cybersecurity and Trusted Supply Chains of ICT -- Orchestrator Architecture and Communication Methodology for Flexible Event Driven Message Based Communication -- 1 Introduction -- 2 Related Work -- 3 Communication Principles in Microservices-Based Architectures -- 3.1 Communication Between Microservices -- 3.2 Security -- 3.3 Communication Stages -- 4 Asynchronous Service State Handling -- 5 Orchestrator Architecture -- 5.1 Microservices Lifecycle in BIECO -- 6 Advantages and Disadvantages of This Approach -- 7 Conclusions -- References. , A Comparative Study of Machine Learning Algorithms for the Detection of Vulnerable Python Libraries -- 1 Introduction -- 2 Approach -- 2.1 Data Collection -- 2.2 Feature Extraction -- 2.3 Modelling -- 3 Implementation and Evaluation -- 3.1 Evaluation -- 4 Conclusions -- References -- Evaluation of the Reliability Index of IP Addresses in Reputation Lists -- 1 Introduction -- 2 Materials and Methods -- 2.1 Reputation Lists -- 2.2 IDS - Intrusion Detection System -- 2.3 Implementation -- 2.4 Metrics -- 3 Results -- 4 Conclusions and Further Work -- References -- Forecasting the Number of Bugs and Vulnerabilities in Software Components Using Neural Network Models -- 1 Introduction -- 2 Literature Review -- 3 Neural Network Models -- 4 Data Collection -- 5 Experimental Results -- 6 Conclusions -- References -- Special Session on Intelligent Solutions for Cybersecurity Systems -- Reinforcement Learning Model Free with GLIE Monte-Carlo on Policy Update for Network Topology Discovery -- 1 Introduction -- 2 Markov Decision Process -- 2.1 Preliminaries -- 2.2 MDP for Finding Information in Complex Networks -- 3 Performance Evaluation -- 3.1 Case Study Description -- 3.2 Results -- 4 Conclusion -- References -- Obfuscating LLVM Intermediate Representation Source Code with NSGA-II -- 1 Introduction -- 2 Background -- 3 Problem Definition -- 4 Evolutionary Multi-objective Optimization -- 5 Experimental Setup -- 6 Validation and Experimental Results -- 7 Conclusions and Future Work -- References -- A Deep Learning-Based Approach for Mimicking Network Topologies: The Neris Botnet as a Case of Study -- 1 Introduction -- 2 Background -- 3 Network Topology Generation with Deep Learning -- 3.1 UGR'16 Dataset: The Neris Botnet -- 3.2 Proposed Methodology -- 4 Experimental Design -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- ICEUTE. , Evaluating Classifiers' Performance to Detect Attacks in Website Traffic -- 1 Introduction and Previous Work -- 2 Applied Methods -- 2.1 Information Gain -- 2.2 The LASSO -- 2.3 Support Vector Machines -- 2.4 k-Nearest Neighbour -- 3 Dataset on Web Attacks -- 4 Results -- 5 Conclusions and Future Work -- References -- Evaluation of an Interactive Guide for Robotics Self-learning -- 1 Introduction -- 2 Interactive Guide for Robotics Self-learning -- 2.1 Didactic Objectives -- 2.2 Sections -- 3 Results -- 4 Conclusions and Future Works -- References -- Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study -- 1 Introduction -- 2 Gamification in Data Science and Machine Learning -- 3 Development of the Innovation Experience -- 3.1 Objectives -- 3.2 Materials and Methods -- 4 Results -- 4.1 Assessment Questionnaires -- 4.2 Results of the Teaching Innovation Experience -- 5 Conclusions -- References -- Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks -- 1 Introduction -- 2 Development of the Innovation Experience -- 2.1 Objectives -- 2.2 Materials and Methods -- 3 Results -- 3.1 Knowledge Assessment Questionnaires -- 3.2 Self-assessment -- 3.3 Qualitative Analysis -- 3.4 Results of the Teaching Innovation Experience -- 3.5 Strengths and Weaknesses of the Project -- 4 Conclusions -- References -- Digital Platforms for Education. The Case of e4you -- 1 Introduction -- 2 Materials and Methods -- 2.1 The e4you Platform -- 3 Teacher-Student Interaction. The Environment -- 3.1 Teacher-Platform Interaction -- 3.2 Learner-Platform Interaction -- 4 Main Results of Educacional Interacion -- 5 Conclusions -- References -- 3D Virtual Laboratory for Control Engineering Using Blended Learning Methodology -- 1 Introduction -- 2 Materials and Methods -- 2.1 Background. , 2.2 Virtual Plant with Factory I/O.

Note: Intro -- Preface -- Organization -- Contents -- Data Mining and Knowledge Discovery -- Screening a Case Base for Stroke Disease Detection -- Abstract -- 1 Introduction -- 2 Knowledge Representation and Reasoning -- 3 A Case Study -- 4 Case Based Reasoning -- 5 Conclusions -- Acknowledgments -- References -- SemSynX: Flexible Similarity Analysis of XML Data via Semantic and Syntactic Heterogeneity/Homogeneity Detection -- 1 Introduction -- 1.1 On the Innovativeness of the SemSynX Proposal -- 2 Running Example -- 3 The SemSynX Approach -- 3.1 XML Data Similarity Analysis in SemSynX -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Towards Automatic Composition of Multicomponent Predictive Systems -- 1 Introduction -- 2 Related Work -- 3 MCPS Description -- 4 Contribution to Auto-WEKA -- 5 Methodology -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- LiCord: Language Independent Content Word Finder -- 1 Introduction -- 2 Related Work -- 3 LiCord: Proposed Framework -- 3.1 NGram Constructor -- 3.2 Function Word Decider -- 3.3 Feature Value Calculator -- 3.4 Classifier Learner -- 4 Experiment -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusion -- References -- Mining Correlated High-Utility Itemsets Using the Bond Measure -- 1 Introduction -- 2 Preliminaries and Related Work -- 3 The FCHM Algorithm -- 4 Experimental Study -- 5 Conclusion -- References -- An HMM-Based Multi-view Co-training Framework for Single-View Text Corpora -- 1 Introduction -- 2 View Generation -- 3 Co-training with HMM View -- 4 Experiments -- 5 Results -- 6 Conclusions -- References -- Does Sentiment Analysis Help in Bayesian Spam Filtering? -- 1 Introduction -- 2 Related Work -- 2.1 Spam Filtering Techniques -- 2.2 Sentiment Analysis -- 3 Improving Spam Filtering Using Sentiment Analysis -- 3.1 Bayesian Spam Filtering. , 3.2 Sentiment Analysis -- 4 Experimental Results -- 4.1 Bayesian Spam Filtering Experiment -- 4.2 Sentiment Analysis -- 5 Conclusions -- References -- A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Adaptive Keyboard Generator -- 3.1 Data Collection -- 3.2 Data Analysis -- 3.3 User Behavior Pattern Recognition -- 3.4 GUI Generation -- 4 Experimental Results -- 5 Concluding Remarks -- Acknowledgements -- References -- Privacy Preserving Data Mining for Deliberative Consultations -- 1 Introduction -- 2 Privacy Preserving Data Mining for Deliberative Consultations - Literature Review -- 2.1 Levels of Privacy Preserving -- 2.2 Types of Data Partitioning in Privacy Preserving Data Mining -- 2.3 Methods of Data Modification in Privacy Preserving Data Mining -- 2.4 Privacy Preserving Techniques -- 3 Usability of Privacy Preserving Techniques in Deliberative Consultations -- 4 Conclusions and Future Work -- References -- Feature Selection Using Approximate Multivariate Markov Blankets -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Bivariate Approach for Feature Redundancy -- 2.2 Multivariate Approach -- 3 Data -- 3.1 Synthetic Datasets -- 3.2 UCI Datasets -- 4 Experiments and Results -- 4.1 Synthetic Datasets -- 4.2 UCI Datasets -- 5 Conclusions and Future Works -- References -- Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree -- Abstract -- 1 Introduction -- 2 Case of Study -- 3 The Used Data Imputation Techniques -- 3.1 The MICE Algorithm -- 3.2 The AAA Algorithm -- 3.3 Models Validation -- 4 Results -- 5 Conclusions -- Acknowledgments -- References -- Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection -- 1 Introduction -- 2 Methodology. , 2.1 Product Unit Neural Networks and Training Procedure -- 2.2 Experimental Design Distribution -- 2.3 Feature Selection -- 3 Proposal Description -- 4 Experimentation -- 5 Results -- 5.1 Results Applying EDD and EDDFS -- 5.2 Results Obtained with State-of-the-art Classifiers -- 6 Conclusions -- References -- Time Series -- Rainfall Prediction: A Deep Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Data Preparation -- 4 Proposed Architecture -- 5 Experiments -- 5.1 Optimizing the Proposed Network Architecture -- 5.2 Evaluation of the Proposed Network -- 6 Conclusions and Future Work -- References -- Time Series Representation by a Novel Hybrid Segmentation Algorithm -- 1 Introduction -- 2 Hybrid Segmentation Algorithm -- 2.1 Summary of the Algorithm -- 2.2 Genetic Algorithm -- 2.3 Local Search -- 3 Experimental Results and Discussion -- 3.1 Time Series Analysed -- 3.2 Experimental Setting -- 3.3 Discussion -- 4 Conclusions -- References -- A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Time Series Forecasting Based on Nearest Neighbours -- 3.2 Algorithm Implementation for Apache Spark -- 4 Results -- 4.1 Datasets Description -- 4.2 Design of Experiments -- 4.3 Electricity Consumption Big Data Time Series Forecasting -- 5 Conclusions -- References -- Active Learning Classifier for Streaming Data -- 1 Introduction and Related Works -- 2 Active Learning Classifier for Data Stream -- 3 Experiments -- 3.1 Goals -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- Bio-inspired Models and Evolutionary Computation -- Application of Genetic Algorithms and Heuristic Techniques for the Identification and Classification of the Information Used by a Recipe Recommender -- 1 Introduction -- 2 Specification of the Proposed Genetic Algorithm. , 2.1 Codification -- 2.2 Starting Generation -- 2.3 GA Operators -- 2.4 Fitness Function -- 2.5 Getting the New Generation -- 2.6 Results -- 3 Heuristics -- 4 Conclusions -- References -- A New Visualization Tool in Many-Objective Optimization Problems -- 1 Introduction -- 2 Related Work -- 3 Proposed Tool -- 3.1 Overview Step -- 3.2 Detail Step -- 4 Experimental Results -- 5 Conclusion -- References -- A Novel Adaptive Genetic Algorithm for Mobility Management in Cellular Networks -- 1 Introduction -- 2 Basic Concepts -- 2.1 The Genetic Algorithm -- 2.2 Adaptation Within Evolutionary Algorithms -- 2.3 Studied Adaptation Strategies -- 2.4 Mobility Management in Cellular Networks -- 3 The Proposed Approach -- 3.1 Initialisation -- 3.2 Selection -- 3.3 Reproduction -- 3.4 Evaluation and Replacement -- 4 Experimental Results and Analysis -- 4.1 Numerical Results -- 4.2 Discussion and Interpretation -- 5 Conclusions -- References -- Bio-Inspired Algorithms and Preferences for Multi-objective Problems -- 1 Introduction -- 2 Foundations -- 3 Interactive Algorithms -- 3.1 CI-NSGA-II -- 3.2 CI-SMS-EMOA -- 3.3 CI-SPEA2 -- 4 Performance Indicators -- 4.1 Referential Cluster Variance Indicator -- 4.2 Hull Volume Indicator -- 5 Experimental Results -- 6 Final Remarks -- References -- Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model -- 1 Introduction -- 2 Semi-physical Model for Li-Ion Battery -- 3 Multi-Objective Approach for Semi-physical Models -- 4 Experimental Results -- 4.1 Experimental Setup and Electronic Instrumentation -- 4.2 Statistical Experimental Design -- 4.3 Numerical Results and Discussion -- 5 Conclusion -- References -- Comparing ACO Approaches in Epilepsy Seizures -- 1 Introduction -- 2 FRBC Learning Metaheuristics for ECI -- 2.1 Pittsburg Learning of Generalized FRBC Models. , 2.2 Ant-Miner+ for Learning FRBCs with Michigan Style -- 3 Experimentation and Results -- 3.1 Materials and Methods -- 3.2 Evaluating the Effect of the Partitioning in the ACO Pittsburg Learning and Ant-Miner+ Michigan Approach -- 4 Conclusions and Future Work -- References -- Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach -- 1 Introduction -- 2 CPV Technology -- 2.1 Study of Influential Atmospheric Conditions on the Electric Performance of CPV Modules -- 2.2 The Use of SMR and APE Indexes to Characterise the DNI Spectral Distribution -- 3 Experimental Study -- 4 Conclusions -- References -- A Hybrid Bio-inspired ELECTRE Approach for Decision Making in Purchasing Agricultural Equipment -- Abstract -- 1 Introduction -- 2 Agricultural Decision Making and Related Work -- 3 A Hybrid Bio-Inspired ELECTRE Model -- 3.1 Multiple Criteria Decision Making ELECTRE I Model -- 3.2 Application of Bio-Inspired Ranking Method -- 4 Choosing and Decision Making for Agricultural Equipment -- 4.1 Data Collection - Combine Harvester -- 5 Experimental Results -- 5.1 Experimental Results - Combine Harvester -- 5.2 Complete Ranking PROMETHEE II Method - Experimental Results -- 5.3 Discussion on Experimental Results -- 5.4 Experimental Results - Purchasing Irrigation Equipment -- 6 Conclusion and Future Work -- Acknowledgments -- References -- Learning Algorithms -- Evaluating the Difficulty of Instances of the Travelling Salesman Problem in the Nearby of the Optimal Solution Based on Random Walk Exploration -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Travelling Salesman Problem and Instances -- 3.2 Experimental Setup -- 4 Analysis -- 4.1 How Far from the Optimal Fitness? -- 4.2 Area as Metric -- 4.3 Comparison with the Phase Transition Parameter for TSP. , 5 Conclusions and Future Work.