Abstract
This chapter offers a comprehensive overview of on-chain analytics and monitoring in Web3, discussing both preventive and reactive approaches to security and risk management. It explains key concepts, techniques, and principles of on-chain analysis, emphasizing the importance of balancing proactive and responsive strategies in a decentralized digital economy.
The chapter covers the evolution and future prospects of preventive on-chain analysis, highlighting the growing reliance on machine learning, AI-driven tools, and the need for enhanced cross-chain and privacy-preserving capabilities. It also discusses reactive on-chain analysis, stressing the value of real-time monitoring, manual expert analysis, and the potential for automation and integration with smart contract operational services.
Additionally, the chapter delves into various tools and platforms for on-chain analysis, discussing their advantages, limitations, and implications for security and user experience. It concludes with a forward-looking discussion on the future of on-chain analysis, envisioning greater integration, innovation, and collaboration across preventive and reactive strategies, while addressing cross-chain, interoperability, and privacy concerns in the Web3 ecosystem.
Overall, this chapter serves as a valuable resource for understanding on-chain analytics and monitoring in Web3 and their contribution to the security, resilience, and success of the decentralized digital economy.
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Parisi, C., Budorin, D. (2023). Web3 Security Analytics. In: Huang, K., Budorin, D., Tan, L.J., Ma, W., Zhang, Z.W. (eds) A Comprehensive Guide for Web3 Security. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-031-39288-7_8
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