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Cybercrime, Vulnerability and Digital Guardianship: Opportunity Structures and Prevention in a Changing Online Landscape
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Understanding the Use of Artificial Intelligence in Cybercrime
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Application Identification with pfSense, Snort, and OpenAppID in Academic Lab Networks
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Adopting Artificial Intelligence: Cross-Sector Analysis of AI Adoption Risks
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The NIST Artificial Intelligence Risk Management Framework: Adoption Challenges and Opportunities
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Cybersecurity in Higher Education Institutions: Awareness, Policy, and Experience on Employee Behaviour
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Next-Generation DNS RPZ for Automated Threat Intelligence, Risk-Aware Filtering, and User-Centric Security
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A Study of Pattern of Cybercrime Abuse of Individual Internet Users in Umuahia North LGA, Abia State of South-eastern Nigeria
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Experts’ validation of the fundamental cybersecurity competency index (FCCI) using a commercial cyber range through human-generative artificial intelligence (GenAI) teaming
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Cybersecurity Governance of Industrial IoT in Sub-Saharan Africa: Policy Gaps, Threat Landscape, and Lessons from Comparative African Contexts
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Investigating the Intersection of AI and Cybercrime: Risks, Trends, and Countermeasures
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To What Extent Could Quantum Computing Pose a Threat to Global Modern Data Security?
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Green D-OXA: Energy-Efficient Fog Node Placement with Renewable Energy Integration for Sustainable IoT Networks
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FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
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A Hybrid MAML-reptile Based Few-shot Learning Approach for Securing Fog-iot Networks against Maleficent Behaviors
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Forensically Interpretable Graph Descriptors for Improved Illicit Bitcoin Transaction Detection
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Hybrid 2D Logistic Chaotic Map and Vernam Cipher for Secure Image Encryption and Steganography
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Adaptive Osprey-bowerbird Optimized Green Cloud Computing with Randomized Attention Coupled Fair Resource Distribution in Scalable Systems
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Trust Aware Multi Objective V2V Routing Using a Quantum Inspired Trust Aware Opportunistic Routing (Q-TAOR)
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Machine Learning-driven Energy-efficient Routing in Wireless Sensor Networks: Predicting Node Lifetime for Optimized Performance
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Q-Learning-Based Task Scheduling for Low-Latency Edge Offloading in MEC Systems
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Strengthening Security in Iomt: A Blockchain-Based Cybersecurity Framework for Similarity Directed Graph Neural Network Driven ECG Signal Classification
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Blockchain-Fick Gradient Model for Secure MANET Routing and Threat Analytics
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Adaptive Trust Node Routing via Energy-Aware and Steerable Network with Stochastic Optimization for Augmented Intrusion Detection in MANET Infrastructures
