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2026 Vol.5 No.1

Dew Computing: Survey
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Dew Computing: Survey

Dew Computing (DC) has recently emerged as a complementary computing paradigm that extends cloud, fog, and edge computing by enabling autonomous, local-first computation directly at end-user devices. Unlike traditional distributed models that rely on centralized or near-edge infrastructures, Dew Computing emphasizes offline-capable, low-latency, and resilient processing at the extreme edge, whi...

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Hybrid‑Threat Intelligence: A Critical Review of Semantic Integration Challenges and the Role of the HIPSTer Ontological Framework
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Hybrid‑Threat Intelligence: A Critical Review of Semantic Integration Challenges and the Role of the HIPSTer Ontological Framework

Contemporary hybrid threats employ coordinated campaigns across information, cyber, and physical domains, maintaining plausible deniability while exploiting institutional vulnerabilities. This review conducts a scoping analysis following the PRISMA ScR framework (Preferred Reporting Items for Systematic Reviews and Meta-Analyses—Extension for Scoping Reviews) to evaluate Open Source Intelligenc...

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Novel Adaptive DCT‑Based Steganography Algorithm with Coefficient Selection Optimization for JPEG Images
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Novel Adaptive DCT‑Based Steganography Algorithm with Coefficient Selection Optimization for JPEG Images

In the realm of secure digital communication, balancing payload capacity with perceptual imperceptibility remains a critical challenge, particularly within lossy compression standards like JPEG. This paper proposes a robust steganography framework that addresses this trade-off by integrating adaptive Discrete Cosine Transform (DCT) modification with an edge-based selection criterion. Unlike uni...

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Expression Capacity‑Based Negative Sentiment (ECNS) Detection and Mitigation in Online Social Networks
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Expression Capacity‑Based Negative Sentiment (ECNS) Detection and Mitigation in Online Social Networks

The rapid expansion of social media platforms has intensified the spread of negative sentiments, misinformation, and hostile digital interactions, producing measurable consequences for public discourse, institutional trust, and societal stability. Existing models often overlook the cognitive and network-structural mechanisms that drive negative sentiment cascades, limiting capacity for early de...

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How Can We Use the Memoirs of Famous Managers in Digital Environment?
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How Can We Use the Memoirs of Famous Managers in Digital Environment?

In today's rapidly changing business environment, organizations and supply chains face increasing socio-economic challenges. To address these challenges, they need new sources of growth and development. One of these sources is lost profits or profits that could be recouped by maximizing the benefits provided by the external environment. To reduce lost profits, organizations and supply chain nee...

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Enhancing Digital Governance through AI‑Driven Public Opinion Monitoring in Live Streaming Environments
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Enhancing Digital Governance through AI‑Driven Public Opinion Monitoring in Live Streaming Environments

The rise of short videos and live streaming has transformed digital governance, enabling governments to engage with citizens in real time. This paper explores the integration of artificial intelligence (AI) in government live streaming, focusing on its role in enhancing public opinion monitoring and sentiment analysis. We analyze current practices and introduce innovative solutions that leverag...

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Star‑Connected Computer Network and Communication
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Star‑Connected Computer Network and Communication

Star-connected computer networks are explored using the example of terahertz modeling. Existence conditions for the complete synchronization between constituent lasers are found numerically. Numerical simulations were conducted using the Matrix Laboratory (MATLAB) software to solve Delay Differential Equations. Extensive numerical simulations with different initial states confirm that high-qual...

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Securing Online Platforms: Hybrid Machine Learning Approaches for URL Phishing Detections
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Securing Online Platforms: Hybrid Machine Learning Approaches for URL Phishing Detections

Phishing attacks pose significant risks in the digital landscape, resulting in financial losses and sensitive information breaches. Traditional detection methods often struggle to keep pace with evolving threats, compromising their effectiveness. This study addresses these limitations by developing a robust detection system using a hybrid machine learning approach. We combine random forest, gra...

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A Systematic Review of Cognitive Passwords: Limitations, Challenges, and Solutions
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A Systematic Review of Cognitive Passwords: Limitations, Challenges, and Solutions

This study provides a comprehensive analysis of cognitive password systems as a secure and user-friendly alternative to traditional authentication mechanisms. Cognitive passwords leverage human memory, behavior, and perception to enhance usability while mitigating common security challenges such as poor memorability, password reuse, and susceptibility to attacks. The study systematically review...

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