تقرير
Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
| العنوان: | Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques |
|---|---|
| المؤلفون: | Osterrieder, Joerg, Chan, Stephen, Chu, Jeffrey, Zhang, Yuanyuan, Misheva, Branka Hadji, Mare, Codruta |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Quantitative Finance |
| مصطلحات موضوعية: | Computer Science - Cryptography and Security, Quantitative Finance - General Finance |
| الوصف: | Blockchain technology, a foundational distributed ledger system, enables secure and transparent multi-party transactions. Despite its advantages, blockchain networks are susceptible to anomalies and frauds, posing significant risks to their integrity and security. This paper offers a detailed examination of blockchain's key definitions and properties, alongside a thorough analysis of the various anomalies and frauds that undermine these networks. It describes an array of detection and prevention strategies, encompassing statistical and machine learning methods, game-theoretic solutions, digital forensics, reputation-based systems, and comprehensive risk assessment techniques. Through case studies, we explore practical applications of anomaly and fraud detection in blockchain networks, extracting valuable insights and implications for both current practice and future research. Moreover, we spotlight emerging trends and challenges within the field, proposing directions for future investigation and technological development. Aimed at both practitioners and researchers, this paper seeks to provide a technical, in-depth overview of anomaly and fraud detection within blockchain networks, marking a significant step forward in the search for enhanced network security and reliability. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2402.11231 |
| رقم الأكسشن: | edsarx.2402.11231 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |