Advances in Information, Communication and Cybersecurity

Name: Advances in Information, Communication and Cybersecurity | Proceedings of ICI2C'21
Brand: Springer
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Proceedings of ICI2C'21

Yassine Maleh Mamoun Alazab Noreddine Gherabi Lo'ai Tawalbeh Ahmed A. Abd El-Latif(Editor)

Springer (Publisher)

Published on 12. January 2022

XVIII, 609 pages

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978-3-030-91738-8 (ISBN)

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Content

Intro
Preface
Organization
Committee
Honorary Committee
General Chairs
Conference Co-chairs
Technical Program Chairs
Publication Chairs
Steering Committee
Sponsoring Chair
Special Sessions Chairs
Publicity Chairs
Technical Program Committee
Organizing Committee
Contents
Advances in Machine Intelligence and Information Retrieval
Adaptive Learning Algorithms and Platforms: A Concise Overview
1 Introduction
2 Background
3 Adaptive Learning Algorithms
3.1 Item Response Theory (IRT)
3.2 FSLSM (Felder-Silverman Learning Style Model)
3.3 Bayesian Knowledge Tracing (BKT)
3.4 Performance Factors Analysis (PFA)
3.5 Computerized Adaptive Test (CAT)
3.6 Deep Knowledge Tracing (DKT)
4 Adaptive Learning Platforms
5 Analysis and Discussion
6 Conclusion
References
A Minimum and Maximum of Regional Information Method to Improve the Sobel Edge Detector
1 Introduction
2 Basic Concepts
3 Sobel Method
4 Our Proposal
5 Experimental Results
6 Conclusion
References
Hybrid Mammogram Segmentation Using Watershed and Region Growing
1 Introduction
2 Watershed Transform
3 The Proposed Technique
3.1 The Image Acquisition
3.2 Preprocessing
3.3 Segmentation
4 Experimental Results
4.1 Qualitative Evaluation
4.2 Quantitative Evaluation
5 Conclusion and Future Work
References
Human Activity Recognition Using Stacked LSTM
Abstract
1 Introduction
2 Related Works
3 Background
3.1 Recurrent Neural Network
3.2 Long Short Term Memory
4 The Proposed Architecture
4.1 Methodology
4.2 Hyper-parameter Tuning
5 Experimentation
5.1 Datasets
5.2 Performance Measure
5.3 Training
6 Results and Discussion
7 Conclusion
References
Optimized Influencers Profiling from Social Media Based on Machine Learning
1 Introduction
2 Related Works
3 Problem Formulation
4 Contribution
5 Approach Implementation
6 Conclusion and Future Works
References
Natural Language Processing Based Approach to Overcome Arabizi and Code Switching in Social Media Moroccan Dialect
1 Introduction
2 Problem Statement and Motivation
3 Related Works
4 Natural Language Processing (NLP)
5 Proposed Approach
5.1 Data Collection
5.2 Data Cleaning
5.3 Tokenization
5.4 Arabizi and Language Detection
6 Conclusion
References
Towards a New Lexicon-Based Features Vector for Sentiment Analysis: Application to Moroccan Arabic Tweets
1 Introduction
2 Background and Literature Review
2.1 Related Work
2.2 Challenges of Analyzing Arabic Language
3 Methodology
3.1 Corpora Collection
3.2 Lexicon Construction
3.3 Tool Design and Functionalities
3.4 Sentiment Classification
4 Experimentations and Results
5 Conclusion
References
Enhanced Word Embeddings with Sentiment Contextualized Vectors for Sentiment Analysis
Abstract
1 Introduction
2 Related Work
3 Learning Sentiment Embeddings
3.1 Sentiment Lexicon
3.2 CSCV Model
3.3 The CSCV Model Training
4 Experiments
4.1 Experimental Settings
4.2 Sentiment Classification
4.3 Result and Discussion
5 Conclusion
References
Arabic Topic Modeling-Based Sentiment Analysis on COVID-19 Feedback Comments
Abstract
1 Introduction
2 Related Works
2.1 Data Description
2.2 Data Cleaning and Preprocessing
3 LDA for Topic Extraction and Modeling
4 Topic Modeling-Based Sentiment Analysis
5 Results and Discussion
6 Conclusion
References
Parallel Feature Selection Approaches for High Dimensional Data: A Survey
Abstract
1 Introduction
2 Feature Selection Classification
2.1 Feature Selection Based on Supervision Strategy
2.2 Feature Selection Based on the Evaluation Function
2.3 Feature Selection from a Data Perspective
2.4 Feature Selection Based on Search Strategy
3 Centralized Feature Selection Techniques
3.1 Population-Based Feature Selection
3.2 Sequential Techniques for Feature Subset Problem
3.3 Filter Feature Selection Methods
4 Parallel Feature Selection Methods
4.1 Parallel Computing Models
4.2 Parallel and Distributed Programming Frameworks and Libraries
4.3 Parallel and Distributed Feature Selection Techniques for High Dimensional Data
5 Challenges and Future Directions
6 Conclusion
References
Metadata Quality in the Era of Big Data and Unstructured Content
Abstract
1 Introduction
2 Related Work
2.1 Metadata Management
2.2 Metadata Quality
3 Metadata Quality Dimensions
4 Metadata Value Chain in Big Data Context
4.1 Metadata Collect
4.2 Metadata Storage
4.3 Metadata Provisioning
4.4 Metadata Maintenance
5 The Projection of the Metadata Quality Dimensions Throughout the Metadata Value Chain
6 Conclusion
References
Weather Forecast Using Sliding Window Algorithm Based on Hadoop and MapReduce
Abstract
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Methodology
3.2 Sliding Window Concept
4 Experimental Setup
4.1 Hadoop Deamons
4.2 MapReduce
5 Results and Discussion
5.1 Maximal Temperature Prediction
5.2 Minimal Temperature Prediction
5.3 Wind Speed Prediction
5.4 Discussion
6 Conclusion
References
Semantic Web Technologies for Internet of Things Semantic Interoperability
1 Introduction
2 Background
2.1 Semantic Web Technologies
2.2 Linked Data
2.3 From IoT to SWoT
3 Basics Uses of Semantics in the IoT
4 Ontologies for the IoT
5 IoT Frameworks Enhancing Semantic Interoperability
6 Conclusion
References
Composition of Large Modular Ontologies Based on Structure
Abstract
1 Introduction
2 Related Work
3 Research Context
4 Global Ontology Construction
4.1 Step (1): Detection of Overlaps
4.2 Step (2): Similarity Measures Calculation
4.3 Step (3): Updating Reference Ontology Module
5 Conclusion and Future Work
References
Detection and Prediction Using Similar Trajectory Measurements
Abstract
1 Introduction
2 Related Work
3 Problematic
3.1 Trajectory and Data Trajectory
3.2 Euclidean Distance
3.3 Principal Component Analysis (PCA)
3.4 Alignment Trajectory
3.5 Dynamic Time Warping (DTW)
3.6 Longest Common Sub-Sequence (LCSS)
4 Experiment and Discussion
5 Conclusion
References
Classification of Arrhythmias from ECG Using Fractal Dimensions and Wavelet Theory
Abstract
1 Introduction
2 Materials and Methods
2.1 Database
2.2 Preprocessing
2.3 Fractal Dimension
2.3.1 Methods of Calculating the Fractal Dimension
2.3.2 Higuchi Algorithm
3 Results and Discussion
4 Conclusion
References
Benchmarking Classification Algorithms for Measuring the Performance on Maintainable Applications
Abstract
1 Introduction
2 Literature Review
3 Classification Techniques
3.1 Decision Trees
3.2 Naïve Bayes
3.3 K-Nearest Neighbor
4 Comparison Among K-NN, Naive Bayes and Decision Trees Techniques
5 Advantages and Disadvantages
6 Discussion
7 Conclusion
References
Application of Machine Learning Techniques for Credit Risk Management: A Survey
Abstract
1 Introduction
2 Research Methodology
3 The Proposed ML Techniques for Financial Risk Management Applications
3.1 Supervised Machine Learning Techniques
3.2 Unsupervised Machine Learning
4 Comparison and Discussion
5 Conclusion
References
Advances in Smart Systems and Networks
Applying Advanced IoT Network Topologies to Enhance Intelligent City Transportation Cost Based on a Constrained and Secured Applicative IoT CoAP Protocol
Abstract
1 Introduction
2 General Architecture
3 Methodology
4 The Proposed Approach
5 Discussion and Results
6 Conclusion and Perspectives
References
Applying Lightweight Elliptic Curve Cryptography ECC to Smart Energy IoT Platforms Based on the CoAP Protocol
Abstract
1 Introduction
2 Supervising Smart Grid IoT Platform
3 Methodology
3.1 IoT Communication Protocol
3.2 The Cryptographic Algorithms
3.3 IoT Network Topologies
4 The Proposed Approach
5 Discussion
6 Conclusion and Perspectives
References
Service Selection in Cloud Computing Environment by Using Cuckoo Search
1 Introduction
2 Related Work
3 Cloud Service Selection Problem Formalization
4 Cuckoo Behavior and Lévy Flights
4.1 Cuckoo Search Algorithm (CSA)
4.2 Lévy Flight
5 Cloud Service Selection Based on Cuckoo Search
6 Experimental Result
7 Conclusion
References
Markov Decision Processes with Discounted Rewards: Improved Successive Over-Relaxation Method
1 Introduction
2 Preliminaries
2.1 Markov Decision Process Model
2.2 Expected Discounted Reward Criterion
3 Results and Experiments
3.1 A Brief Overview on the Successive Over-Relaxation (SOR)
3.2 New Test of Non-optimal Decisions
4 Conclusion and Future Perspective
References
Speech Spectral Subtraction in Modulation Domain
Abstract
1 Introduction
2 Methods
2.1 Fundamentals of Demodulation
2.2 Modulators Modification and Synthesis
3 Experimental Results
3.1 Corpus
3.2 Objective Measure
4 Conclusion
References
COBIT 5 Concepts: Towards the Development of an Ontology Model
Abstract
1 Introduction
2 Previous Work
3 Used Method
3.1 MDA (Model Driven Architecture)
3.2 UML Meta-modeling
3.3 OWL
3.4 OWL-API
3.5 Ontology
4 Proposed Ontology
5 Result
6 Conclusion
References
Advances in Online Learning
A Systematic Study on Tertiary Level Student Tuition Fee Waiver Management During Pandemic Using Machine Learning Approaches
Abstract
1 Introduction
2 Literature Survey
3 Process Flowchart
4 Data Collection, Preprocessing and Feature Engineering
4.1 Data Collection
4.2 Data Preprocessing and Feature Engineering
5 Proposed Methodology
5.1 Decision Tree Regression (DTR)
5.2 Random Forest Regression (RFR)
6 Result and Discussion
6.1 Result
6.2 Result Analysis
7 Conclusion and Future Work
References
Towards a Model of Self-regulated e-learning and Personalization of Resources
Abstract
1 Introduction
2 Related Work
3 Proposed Model
4 Scenario of the Proposed Model
5 Conclusion and Future Work
References
The Preferences and Expectation of Moroccan Teachers from Learning Analytics Dashboards in a Blended Learning Environment: Empirical Study
Abstract
1 Introduction
2 Methodology
2.1 Questionnaire Description
2.2 Hypotheses
2.3 Participants
3 Results
3.1 The Participants' Profile
3.2 Evaluation Techniques and Tools Used in Online Education
3.3 Learning Analytic Dashboards' Use
3.4 Students' Related Information
4 Discussion
5 Conclusion
References
Towards a Smart City Stakeholders Classification: Case of Casablanca Smart City Project
Abstract
1 Introduction
2 Methodology
3 The Concept of Smart City
4 Stakeholders Engagement in Smart Cities and Their Classification Methods
4.1 Stakeholders Engagement in Smart Cities
4.2 Smart Cities Stakeholders Classification Models
5 Classification of Casablanca Smart City Project Stakeholder
5.1 Presentation of Casablanca Smart City Project
5.2 Presentation of Casablanca Smart City Stakeholders' Project
5.3 Classification of Casablanca Smart City Stakeholders' Project
6 Conclusion
Acknowledgments
References
Emerging Learning Environments and Technologies Post Covid-19 Pandemic: What's Next?
Abstract
1 Introduction
2 Methodology
3 Findings
3.1 Massive Open Online Courses (MOOCs)
3.2 Social Media
3.3 Adaptive Learning
3.4 Mobile Technology
3.5 Gamification and Learning
3.6 Learning Analytics
3.7 Special Education Technology
3.8 Cloud Computing
4 Discussion and Conclusion
References
What Drives Digital Library User's Satisfaction Behavior? Investigating the Level and Its Determinants
Abstract
1 Introduction
2 Research Model
3 Methodology
4 Findings
4.1 Demographic Analysis
4.2 Assessment of Common Method Bias
4.3 Descriptive Analysis of Instrument
4.4 Correlation Analysis
4.5 Multiple Regression Analysis
5 Discussion and Conclusion
References
Managing Individual Online Learning Experience: The Roles of Perceived Engagement and Perceived Performance
Abstract
1 Introduction
2 Research Model
2.1 Task Performance
2.2 Task Satisfaction
2.3 Task Innovation
2.4 User Involvement
2.5 User Participation
3 Methodology
4 Results and Discussion
4.1 Demographic
4.2 Descriptive Analysis
4.3 Correlation Analysis of Variables
4.4 Multiple Regression
5 Discussion and Conclusion
References
Consumer's Organic Food Buying Intention in COVID-19 Pandemic: Evidence from Vietnam
Abstract
1 Introduction
2 Literature Review
2.1 Consumer's Organic Food Buying Intention (COFI)
2.2 Food Safety (FS)
2.3 Health Consciousness (HS)
2.4 Environment Care (EC)
2.5 Paying Ability (PA)
2.6 Food Quality (FQ)
2.7 Social Lifestyle (SL)
3 Methodology
3.1 Sample Approach
3.2 Measures
4 Results
4.1 BIC Model Selection
4.2 Model Evaluation
5 Conclusions
Acknowledgments
References
Students' Performance and Engagement in Discrete Mathematics Online Learning During COVID-19 Pandemic
Abstract
1 Introduction
2 Methodology
2.1 Procedure
2.2 Participants
3 Data Analysis
3.1 Statistics
4 Discussion
5 Conclusion
References
Advances in Smat Healthcare
A Smart Health Monitoring Application for Patients to Improve Health
Abstract
1 Introduction
2 Background of Study
3 Health of Patients System
3.1 Design
3.2 Protection and Safety in Help with Patients Human Services Framework
4 Application of the Suggested Framework
4.1 Emergency Alert
4.2 Medicine Reminder
4.3 Symptoms Checker
5 Case Study
6 Conclusion
References
Early Detection of the Alzheimer's Disease: A Novel Cognitive Feature Selection Approach Using Machine Learning
Abstract
1 Introduction
2 Related Works
3 The Proposed Feature Selection Method
3.1 The Dataset
3.2 Ensemble Feature Selection
4 Results and Discussions
5 Conclusions
References
An Artificial Neural Network-Based System to Predict Cardiovascular Disease
Abstract
1 Introduction
2 Preliminaries
2.1 CVD High-Risk Factors
2.2 ANN vs. Machine Learning Algorithms
3 Problem Statement
4 Related Works
5 ANN-Based Model for CVD Prediction
5.1 Data Preparation
5.2 Model Description
6 Simulation Results
6.1 Experimental Procedure
6.2 Evaluation Metrics
7 Conclusion
References
Hybrid Machine and Deep Transfer Learning Based Classification Models for Covid 19 and Pneumonia Diagnosis Using X-ray Images
1 Introduction
2 Materials and Methods
2.1 Convolutional Neural Network (CNN)
2.2 Performance Evaluation and Model Improvement
2.3 Ensemble Learning
2.4 Related Works
3 Experimental Results and Discussions
3.1 Data Set
3.2 Machine Learning Models
3.3 Deep Transfer Learning Models
3.4 Hybrid Models
4 Conclusion
References
Applying Advanced IoT Network Topologies to Optimize COVID-19 Sanitary Passport Platform Based on CoAP Protocol
Abstract
1 Introduction
2 Functional Medical IoT Scenarios
2.1 CoAP Protocol
2.2 RSA and AES Algorithms
2.3 IoT Network Topologies
3 The Proposed Approach
4 Discussion and Results
5 Conclusion and Perspectives
References
An Approach Based on Multi-agent and Artificial Immune Algorithm for the Vehicle Routing Problem in Home-Health Care
Abstract
1 Introduction
2 Concepts
2.1 Metaheuristics
2.2 Multi-agent System
3 Literature Review
3.1 Planning and Scheduling Problems
3.2 Pick-Up and Delivery Problems
4 Problem Description
5 Mathematical Formulation
6 Proposed Approach
7 Conclusion and Perspectives
References
Ontology-Based Machine Learning to Predict Diabetes Patients
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Data Preprocessing
3.2 Decision Tree Algorithm
3.3 Ontology Building
3.4 SWRL Rules
4 Results and Discussion
5 Conclusion and Future Work
References
Advances in Cybersecurity and Information Assurance
Automatic Static Vulnerability Detection Approaches and Tools: State of the Art
Abstract
1 Introduction
2 Background
3 Static Vulnerability Detection Approaches
3.1 Lexical and Pattern Matching-Based Analysis
3.2 Dataflow Based Analysis
3.3 Control-Flow Based Analysis
3.4 Taint Based Analysis
3.5 Limitations of Static Analysis Techniques
4 Current Implementations
5 The Experimentation Study
5.1 Preparation Step
5.2 Results and Discussion
6 Conclusion and Future Work
References
Machine Learning Techniques for Intrusion Detection in SDN: A Survey
Abstract
1 Introduction
2 Research Methodology
2.1 Research Questions
2.2 Search Terms
2.3 Collection Sources
2.4 Inclusion and Exclusion Criteria
3 SDN Architecture and Security Challenges
3.1 SDN Architecture
3.2 Security Challenges in SDN Architecture
4 Intrusion Detection System (IDS)
5 Attack Mitigation in SDN
6 Discussion
6.1 ML-Based Simulation
6.2 ML-Based Public Datasets
7 Conclusion and Perspectives
References
A Suricata and Machine Learning Based Hybrid Network Intrusion Detection System
Abstract
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Proposed NIDS Model
3.2 Operating Principle of the Proposed Model
3.3 Use Case of the Proposed Model
4 Experimentation
4.1 CICIDS2017 Dataset Optimization
4.2 Classification of Benign Traffic
5 Conclusion
References
Experimental Study on the Effectiveness of Machine Learning Methods in Web Intrusion Detection
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset Description
3.2 Training and Classification
3.3 Evaluation Metrics
3.4 Experiment Environment
4 Results and Discussion
5 Conclusion
References
A Review of Indoor Positioning Systems (IPS) and Their Different Use-Cases
1 Introduction
2 State of the Art
2.1 RSSI Fingerprinting (Received Signal Strength Indicator)
2.2 Bluetooth Beacons
2.3 RFID (Radio Frequency Identification)
2.4 NFC (Near Field Comm)
2.5 VLC (Visible Light Communication)
2.6 QR Codes
2.7 AR (Augmented Reality)
3 Discussion
4 Conclusion and Perspectives
References
Towards Automatic Rule Conflict Detection in Snort
1 Introduction
2 Related Work
3 Access Control Mis-Configurations
3.1 IDS/IPS Vs Firewalls
3.2 Shadowing
3.3 Correlation
3.4 Redundancy
4 Snort Mis-Configuration Checker: Goals and Approaches
4.1 Reading the Configuration File
4.2 Parsing Rules
5 Testing for Mis-Configurations
6 Comparison
6.1 Past Authors
6.2 Our Rule Mis-Configuration Detection Tool
7 Conclusion
8 Future Work
References
A Study of Connection Speeds in Transport Layer Security Version 1.3 (TLS 1.3) Using Different Handshake Modes
Abstract
1 Introduction
2 Latency and Protocol Performance
3 Latency in TLS 1.3
4 Experimental Testbed
5 Methodology and Implementation
6 Conclusion
Acknowledgments
References
Robust Secret Share to Reinforce the Security of IBE's Master Key
1 Introduction
2 Background
2.1 ID-Based Encryption
2.2 ADS-IBE Solution
2.3 Secret Sharing
3 Proposed Scheme
3.1 Basic Design
4 Discussion
5 Conclusion
References
Single Sign-On Revocation Access
1 Introduction
2 Related Works
3 IdP Account Hijacking Threat
4 Access Revocation Solutions
4.1 OIDC Session Management
4.2 OIDC Front-channel Logout
4.3 OIDC Back-channel Logout
4.4 Single Sign-Off
5 Comparative Analysis
6 Conclusion
References
New Way to Enumerate Large Quadratic Residue Codes Based on Hash and Automorphism Group
Abstract
1 Introduction
2 Related Works
3 Description of the Proposed Method
4 Results and Discussion
5 Conclusion and Perspectives
References
Two-Stage Pipelining Implementation of the Secure Hash Algorithm SHA-3 on Virtex-5 and Virtex-6 FPGAs
Abstract
1 Introduction
2 SHA-3 Specifications
3 The Proposed Designs
3.1 The Basic Design
3.2 The External Pipelined Design
3.3 The Internal Pipelined Design
4 Implementation Results
5 Conclusion
References
Securing MQTT Architecture Using a Blockchain
Abstract
1 Introduction
2 The Current MQTT Architecture: Strengths and Challenges
2.1 MQTT Components
2.2 MQTT Architecture: Strengths and Challenges
3 Blockchain and Smart Contract
3.1 Blockchain
3.2 Smart Contract
4 Related Work
5 An Improvement of MQTT Architecture
5.1 Messages
5.2 Transactions Types
5.3 Token
5.4 Registration Phase
5.5 Publishing Phase
5.6 The Contribution of the Article
6 Conclusion
References
The Human Factor Capabilities in Security Operation Center (SOC)
Abstract
1 Introduction
2 Research Methodology
3 Data Analysis and Results
3.1 Lack of Automation
3.2 Lack of Visibility into IT Infrastructure
3.3 False Positives
3.4 Lack of Processes and Playbooks
3.5 Lack of SOC Training and Attack Simulations
3.6 Performance of Hardware and Software Resources
3.7 Lack of Adequate Metrics for SOC Analyst's Evaluation
4 Conclusion
References
A Systematic Review on Software Defined Networks Security: Threats and Mitigations
Abstract
1 Introduction
2 Research Methodology
3 SDN Security Threats and Attacks
3.1 SDN Security Threats and Attacks Classification
4 SDN Security Mitigations
5 Conclusion
References
Correction to: Ontology-Based Machine Learning to Predict Diabetes Patients
Correction to: Chapter "Ontology-Based Machine Learning to Predict Diabetes Patients" in: Y. Maleh et al. (Eds.): Advances in Information, Communication and Cybersecurity, LNNS 357, https://doi.org/10.1007/978-3-030-91738-8_40
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Advances in Information, Communication and Cybersecurity

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