Selfish Auto-Mining: A New Approach

Expert company in cybersecurity, artificial intelligence, and custom software development, offering solutions to protect critical infrastructures and improve decision-making in business environments.

domingo, 10 de agosto de 2025 • 2 min read • Q2BSTUDIO Team

Artificial-Intelligence-

A new study reveals that classic selfish mining strategies have become obsolete compared to an attack that exploits disjoint private forks and far surpasses traditional attacks on a single chain.

The described technique proposes maintaining multiple private branches disconnected from each other instead of a single hidden chain. Experiments conducted with the Storm model checker show that even simple configurations achieve a higher expected relative revenue ERRev compared to honest mining and classic selfish mining variants.

The results indicate that the attack remains effective for the entire range of difficulty change probability values and resource advantages, highlighting critical vulnerabilities in chains based on efficient proof systems. This finding is not intended to facilitate practical exploitation but to alert about theoretical risks that must be addressed by the security community and protocol developers.

Implications for blockchain security include the need to review fork choice rules, strengthen network control mechanisms, and design incentives that discourage strategies relying on multiple private information. High-level mitigation recommendations are to improve detection of anomalous block publication patterns, tighten propagation latency, and reassess chain reorganization criteria, always without providing operational instructions to carry out attacks.

At Q2BSTUDIO we are attentive to these developments because they affect projects that depend on trust, traceability, and resilience against fraud. As a custom software and application development company, we offer solutions that integrate good security practices and robust protocol design. Our team combines experience in custom applications and custom software with advanced capabilities in artificial intelligence and cybersecurity to protect critical infrastructures.

We also provide professional services in aws and azure cloud services, business intelligence services, and analytical tools such as power bi. We implement ai for businesses through AI agents and artificial intelligence models that help detect anomalies in networks and transactions, bringing prevention techniques and early response closer to emerging threats.

If your organization develops blockchain solutions, financial platforms, or applications with integrity and availability requirements, at Q2BSTUDIO we can help assess risks, propose improvements in consensus logic, and deploy secure cloud architectures. Our approach combines cybersecurity, artificial intelligence, and software design to deliver resilient and scalable products.

Contact and personalized advisory for audits, system design, and development of custom software and custom applications available on demand. Trust Q2BSTUDIO to transform research findings into concrete actions that protect your digital assets and improve decision-making with business intelligence services and solutions based on ai for businesses.

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