Cybersecurity in Cryptocurrencies and NFTs
Unveiling the Evolving Landscape of Digital Asset Security
This comprehensive bibliometric analysis explores the scientific evolution of cybersecurity and cyber threats within cryptocurrency and NFT ecosystems. By mapping key themes, influential authors, and emerging trends, we provide a structured overview for proactive research and trustworthy decentralised environments.
Executive Impact Summary
Our analysis of 337 scholarly articles reveals a sustained growth in literature, with a concentration of research in China, India, and the United States. Key motor themes include blockchain, cybersecurity, and emerging technologies, alongside illegal mining. Intrusion detection is identified as a rapidly emerging field, integrating AI techniques for attack prevention. NFT security, while crucial, remains less consolidated than cryptocurrency security, indicating a need for interdisciplinary approaches to address its multi-layered vulnerabilities.
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Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Enterprise Process Flow
2014-2020: Foundational Concepts (Anonymity, Cyberattacks, Economic Dimension)
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2021-2023: Diversified Research (Smart Contracts, Authentication, Financial Fraud)
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2024-2025: Mature & Specialized Themes (Cybersecurity, Vulnerabilities, AI, Illegal Mining)
This timeline illustrates the progression of research foci, from foundational concepts to specialized themes driven by the evolving digital asset landscape. Proactive identification of these shifts is crucial for enterprise security strategy.
Blockchain & AI
Motor Themes Driving Research
Blockchain provides the core infrastructure for cryptocurrencies and NFTs, while AI and Machine Learning have become indispensable tools for detection and prevention of sophisticated cyber threats. These two themes demonstrate strong internal cohesion and high centrality within the research domain.
| Threat Type | Characteristics | Mitigation Focus |
|---|---|---|
| Intrusion Detection |
|
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| Illegal Mining/Cryptojacking |
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This comparison highlights the contrast between emerging and established threat vectors. While illegal mining is a mature and persistent threat, intrusion detection is an emerging area with increasing relevance, demanding new, data-driven defense strategies.
NFT Security: A Fragmented Landscape
The study highlights that NFT-focused security research remains comparatively fragmented due to its multi-layer heterogeneity and platform volatility. Unlike the more mature cryptocurrency security, NFT threats span smart contracts, marketplaces, metadata storage, wallet interactions, and social engineering. This lack of thematic cohesion calls for integrative frameworks that bridge on-chain and off-chain vulnerabilities and improve evaluation standards.
Challenge: Lack of standardised threat models and mitigation pipelines across diverse NFT ecosystems.
Solution: Develop cross-chain architectures, explicitly define trust boundaries, and incorporate resilience strategies.
Addressing the unique and fragmented security challenges of NFTs requires a dedicated, multi-layered approach that considers both technical vulnerabilities and ecosystem dynamics.
Estimate Your AI-Driven Security ROI
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Annual Savings Potential
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Your AI Security Implementation Roadmap
A structured approach to integrate advanced AI security into your cryptocurrency and NFT operations, tailored to research-backed insights.
Discovery & Threat Modeling
Identify specific attack vectors and vulnerabilities within your cryptocurrency and NFT ecosystems, aligning with latest research on smart contract exploitation and illegal mining. This phase includes initial data collection and forensic analysis strategy.
AI Integration & Detection Pipeline
Implement AI-driven anomaly detection systems and machine learning models for real-time monitoring of transactions and network activity. Focus on explainable AI (XAI) for transparency and auditability, addressing emerging threats like intrusion detection.
Cross-Chain Security & Regulatory Compliance
Develop security frameworks for cross-chain infrastructures and interoperability protocols, explicitly defining trust boundaries. Integrate privacy-preserving mechanisms and ensure compliance with evolving regulatory landscapes for digital assets.
Continuous Monitoring & Adaptive Defense
Establish continuous telemetry and threat intelligence integration tuned to crypto/NFT infrastructures. Implement adaptive response playbooks for both on-chain and off-chain compromise vectors, ensuring ongoing resilience against new adversarial strategies.
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