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All Journal International Journal of Advances in Applied Sciences Prosiding SNATIF Jurnal Pekommas INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Ilmiah Matrik Journal Information System Development International Journal of New Media Technology Technomedia Journal Jurnal ULTIMA InfoSys Jurnal ULTIMATICS IKRA-ITH ABDIMAS SENSITEK Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Proceeding National Conference Business, Management, and Accounting (NCBMA) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi GIAT: Teknologi untuk Masyarakat International Transactions on Education Technology (ITEE) International Transactions on Artificial Intelligence (ITALIC) Journal of Digital Market and Digital Currency Journal of Current Research in Blockchain International Journal Research on Metaverse
Widjaja, Andree E.
Universitas Pelita Harapan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : Journal of Current Research in Blockchain

 1 
Predictive Modeling of Blockchain Stability Using Machine Learning to Enhance Network Resilience Hery; Widjaja, Andree E.
Journal of Current Research in Blockchain Vol. 1 No. 2 (2024): Regular Issue September
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jcrb.v1i2.15

Abstract

Blockchain technology is widely recognized for its security, transparency, and decentralization, yet ensuring the stability of blockchain networks as they scale remains a significant challenge. This study introduces a novel approach by integrating machine learning models to evaluate and predict blockchain stability, offering a proactive solution to maintain network reliability. The primary objective was to identify the key factors influencing stability and assess the effectiveness of different machine learning models in predicting instability events. Using a dataset derived from blockchain transaction data and network metrics, we applied Random Forest, Support Vector Machine (SVM), Long Short-Term Memory (LSTM) neural networks, and K-Means Clustering algorithms. The LSTM model demonstrated the highest accuracy (94.3%) and an AUC-ROC of 0.952, significantly outperforming other models in predicting stability events. The Random Forest model revealed that transaction throughput and network latency are the most critical factors, contributing 35.2% and 28.1% to network stability, respectively. Additionally, K-Means Clustering identified three distinct stability patterns, each representing different risk levels, providing actionable insights for network management. The key contribution of this research lies in the integration of machine learning into blockchain management, presenting a novel approach that enhances the predictability and resilience of blockchain systems. The findings suggest that machine learning can be effectively employed to develop early warning systems, enabling timely interventions to prevent network instability. This study not only advances the understanding of blockchain stability but also offers practical solutions for its enhancement, marking a significant step forward in the field. Future work should focus on the real-time implementation of these models and the exploration of more advanced techniques to further improve predictive capabilities.
Co-Authors Alencia Haryani, Calandra Alvira Putri Yudini Alya M. Amalia Amalia, Alya M. Amelia Magdalena Kaheja Amelia Magdalena Kaheja Amelinda Chendra Arnold Aribowo Arnold Aribowo Arnon M Sugiarto Azim Ashar Calandra A. Haryani Calandra Alencia Haryani Calandra Alencia Haryani Carolyn Feiby Supit Christian Marsel Wijaya2 Christopher, Raphael Debora Kathrin Yuwono Debora Kathrin Yuwono Debora Margareta Efendi Tarigan, Riswan Eric Jobiliong Feliks Victor Parningotan Samosir Ferdinand, Ferry Vincenttius Filbert Chan Fransisko, Andy Gabrielle Florencia Gennady, Erick Goestjahjanti, Francisca Sestri Habsara Hareva, David Harjono, Nathanael Joshua Haryani, Calandra A. Haryani, Calandra Alencia Hery Hery Hery Hery Hery Hery Hery Hery Hery Hery Juan Situmorang Hikam, Ihsan Nuril Husni Teja Sukmana Irene Eka Sri Saraswati Irene Eka Sri Saraswati Jamesdry Jefrin Laia Joshua Nathanael Justin A. Haratua Karnawi Kamar, Karnawi Kristina G. Simanjuntak Kusno Prasetya Kusno Prasetya Laurentia Anggun P Lisia, Vanella Maya Avinda Mayumi Utama Michelle Angelica Mitra, Aditya R. Mouw, Christ Wibowo Mulyati Mulyati Nathalie, Julia Nathanael, Joshua Prasetya, Kusno Renaldi, Ary Renaldo Luih, Joshua Ririn Ikana Desanti Riswan E Tarigan Riswan E. Tarigan Riswan E. Tarigan Riswan Efendi Tarigan Rosanna, Nadya Sugiarto, Arnon M Supriyanti, Dedeh Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Tania Jovita Wibowo Tarigan, Riswan E. Toer, Guevara Ananta Vanella Lisia Veronica, Winnie Vincent Cahyadi Vivi Melinda Wijaya, Yoana Sonia Willy Darmawan Yumna, Saidah ‪Alfa Satya Putra ‪Alfa Satya Putra