An Intelligent Blockchain Consensus Enhancement Framework Using DAG and the PHANTOM Protocol

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Abstract

The blockchain consensus protocols provide trust, security, and consistency of data in decentralized networks. The PHANTOM protocol is a strong consensus mechanism that plays an important role in providing scalable, secure blockchain networks, particularly when using a Directed Acyclic Graph topology. Past blockchain networks are inefficient with low throughput, sequential block confirmation, and high confirmation latency, and are highly limited in scale. To address these problems, the new framework proposes a High-Throughput Cryptocurrency Network that combines the PHANTOM protocol with a Directed Acyclic Graph-based ledger. PHANTOM's non-linear ability to organize blocks enables parallel verification and efficient conflict resolution, and the Directed Acyclic Graph provides structural flexibility and high data transmission speed. The new methodology is used to ensure the reliability of transaction processing in cryptocurrency networks. The experimental results demonstrate higher throughput, a higher block confirmation rate, and stronger consensus guarantees, indicating that the framework has successfully addressed the weaknesses of typical blockchain protocols. The proposed framework improves network stability under high load by reducing bottlenecks caused by linear block propagation and competing miners. The PHANTOM- Directed Acyclic Graph integration enhances equity between the nodes involved in block creation and validation and decreases the likelihood of orphaned blocks due to the ability to create and validate several blocks simultaneously. The architecture is more scalable, as it can add nodes without compromising performance, stability, or security. The strategy provides a useful foundation for next-generation decentralized payment systems and real-time financial applications that require low latency, high throughput, and strong consensus guarantees.

Year of Conference
2026
Conference Name
2026 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2026
Number of Pages
416-423,
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN Number
979-833157229-7 (ISBN)
URL
https://ieeexplore.ieee.org/document/11549044
DOI
10.1109/ICETSIS68266.2026.11549044
Short Title
ASU Int. Conf. Emerg. Technol. Sustain. Intell. Syst., ICETSIS
Conference Proceedings
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