Cover: International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022) - Springer

International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022)

Name: International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022) | Proceedings
Brand: Springer
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Proceedings

Pablo García Bringas Hilde Pérez García Francisco Javier Martínez de Pisón José Ramón Villar Flecha Alicia Troncoso Lora Enrique A. de la Cal Álvaro Herrero Francisco Martínez Álvarez Giuseppe Psaila Héctor Quintián Emilio Corchado(Editor)

Springer (Publisher)

Published on 4. November 2022

XVII, 268 pages

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978-3-031-18409-3 (ISBN)

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This book of Lecture Notes in Networks and Systems contains accepted papers presented at the 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) and the 13th International Conference on EUropean Transnational Education (ICEUTE 2022). These conferences were held in the beautiful city of Salamanca, Spain, in September 2022.

The aim of the CISIS 2022 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event.

After a thorough peer review process, the CISIS 2022 International Program Committee selected 20 papers, which are published in this conference proceedings. In this edition, three special sessions were organized: Cybersecurity in Future Connected Societies, Cybersecurity and Trusted Supply Chains of ICT, and Intelligent Solutions for Cybersecurity Systems.

The aim of ICEUTE 2022 is to offer a meeting point for people working on transnational education within Europe. It provides a stimulating and fruitful forum for presenting and discussing the latest works and advances on transnational education within European countries.

In the case of ICEUTE 2022, the International Program Committee selected 5 papers, which are also published in this conference proceedings.

The selection of papers was extremely rigorous to maintain the high quality of the conferences. We want to thank the members of the Program Committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the CISIS and ICEUTE would not exist without their help.

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Content

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
2.3 OPC Server with KEPServerEX
2.4 PID Controller with Matlab/Simulink
2.5 Proposal for Students
3 Experiments and Results
3.1 Virtual Lab Implementation
3.2 Surveys
4 Conclusions and Future Works
References
Author Index

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International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022)

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