Issue 1

ReMouse Dataset: On the Efficacy of Measuring the Similarity of Human-Generated Trajectories for the Detection of Session-Replay Bots
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Water-Tight IoT–Just Add Security
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The Cybersecurity Awareness INventory (CAIN): Early Phases of Development of a Tool for Assessing Cybersecurity Knowledge Based on the ISO/IEC 27032
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Potential of Homomorphic Encryption for Cloud Computing Use Cases in Manufacturing
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The Privacy Flag Observatory: A Crowdsourcing Tool for Real Time Privacy Threats Evaluation
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Acknowledgment to the Reviewers of Journal of Cybersecurity and Privacy in 2022
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An Investigation to Detect Banking Malware Network Communication Traffic Using Machine Learning Techniques
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Issue 2

Modeling Intruder Reconnaissance Behavior through State Diagrams to Support Defensive Deception
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A Lesson for the Future: Will You Let Me Violate Your Privacy to Save Your Life?
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Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication
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Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation
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Cybersecurity in a Large-Scale Research Facility—One Institution’s Approach
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Cybersecurity for AI Systems: A Survey
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Investigating the Privacy and Security of the SimpliSafe Security System on Android and iOS
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Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection
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Issue 3

Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
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Business Email Compromise (BEC) Attacks: Threats, Vulnerabilities and Countermeasures—A Perspective on the Greek Landscape
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A Gap Analysis of the Adoption Maturity of Certificateless Cryptography in Cooperative Intelligent Transportation Systems
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Abuse of Cloud-Based and Public Legitimate Services as Command-and-Control (C&C) Infrastructure: A Systematic Literature Review
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Hybrid Machine Learning-Based Approaches for Feature and Overfitting Reduction to Model Intrusion Patterns
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Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions
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Deploying Secure Distributed Systems: Comparative Analysis of GNS3 and SEED Internet Emulator
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A Deep Learning Approach for Network Intrusion Detection Using a Small Features Vector
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Hourly Network Anomaly Detection on HTTP Using Exponential Random Graph Models and Autoregressive Moving Average
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Post-Quantum Authentication in the MQTT Protocol
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How to Influence Privacy Behavior Using Cognitive Theory and Respective Determinant Factors
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VEDRANDO: A Novel Way to Reveal Stealthy Attack Steps on Android through Memory Forensics
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Power-Based Side-Channel Attacks on Program Control Flow with Machine Learning Models
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A Dynamic and Adaptive Cybersecurity Governance Framework
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Assessing the Security and Privacy of Baby Monitor Apps
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Issue 4

Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis
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Evaluating Cluster-Based Synthetic Data Generation for Blood-Transfusion Analysis
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Machine Learning Detection of Cloud Services Abuse as C&C Infrastructure
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Challenging Assumptions of Normality in AES s-Box Configurations under Side-Channel Analysis
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A Hybrid Dimensionality Reduction for Network Intrusion Detection
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D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities
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Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques
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Security in Cloud-Native Services: A Survey
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A Framework for Synthetic Agetech Attack Data Generation
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Studying Imbalanced Learning for Anomaly-Based Intelligent IDS for Mission-Critical Internet of Things
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Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process
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