Analysis of Blockchain Transaction Patterns and Risk Assessment in the Open Metaverse
- Title
- Analysis of Blockchain Transaction Patterns and Risk Assessment in the Open Metaverse
- Creator
- Akash, Madanu; Ancy, P.R.
- Description
- This research explores the use of an ensemble comprising Random Forest, XG-Boost, and Isolation Forest algorithms for anomaly detection and risk analysis of blockchain transactions in the Open Metaverse. We created a multi-phase strategy using temporal feature engineering, risk assessment frameworks, and behavioral pattern analysis using an extensive dataset of 78,600 transactions. The ensemble model achieved 99% classification accuracy and zero false positives for valid transactions, while effectively detecting phishing (84% precision, 68% recall) and scam activities (81% precision, 91% recall). With 56.19% of the categorization, risk assessment measures were the most important predictive indicators, followed by transaction patterns and behavioral attributes. Our cross-validation analysis resulted exceptional stability in performance, with standard deviation of 0.0004 across diverse transaction scenarios. This confirms that our methodology can reliably detect intricate risk patterns, playing a crucial role in strengthening transaction security as the Open Metaverse continues to evolve. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
- Source
- Lecture Notes in Networks and Systems;Volume;1722 LNNS;pp.255-266
- Date
- 01-01-2026
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Anomaly Detection; Blockchain Security; Metaverse Transactions
- Coverage
- Akash M., Computer Science and Engineering Department, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Ancy P.R., Computer Science and Engineering Department, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 23673370; ISBN: 978-303210755-8;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Akash, Madanu; Ancy, P.R., “Analysis of Blockchain Transaction Patterns and Risk Assessment in the Open Metaverse,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25372.
