Textbook in PDF format The rapid development and widespread application of blockchain technology have led to a diverse and heterogeneous blockchain ecosystem. Independent operations, resembling isolated data islands, increase the difficulty of data exchange among blockchains. Cross-chain technology has emerged to connect independent blockchains, facilitating asset transfer and information interaction. As a promising new technology, cross-chain solutions with strong interoperability have garnered attention from both academia and industry. However, cross-chain financial incidents have exposed significant information leakage and property loss, highlighting the need for regulation and privacy in cross-chain environments. The lack of uniformity in cross-chain architecture and the use of common plain-format transactions increase the difficulty of both regulation and privacy preservation. This book, for the first time, explores the challenges and solutions related to cross-chain regulation and privacy. We provide a comprehensive understanding of how to design full life-cycle regulation mechanisms, from multi-dimensional detection to efficient provenance tracking, and lightweight privacy-preserving mechanisms. Additionally, we discuss how to balance regulation and privacy in cross-chain environments. This chapter researches and designs a network node anomaly detection mechanism for cross-chain systems. The mechanism consists of two crucial parts: a cross-chain system based on ChainMaker relay and a visual anomaly detection alarm system based on Prometheus and Grafana. With the continuous development of blockchain technology, cross-chain interaction has become the key to achieving interconnection and interoperability between different blockchains. The Prometheus Server, as the cornerstone of the Prometheus components, encompasses core functionalities including the acquisition, storage, and querying of monitoring data. It can manage monitoring targets through static configuration, as well as achieve dynamic target management in conjunction with Service Discovery, allowing it to extract data from various monitoring targets. Importantly, the Prometheus Server itself functions as a time-series database and provides a custom query language called PromQL, enabling users to flexibly query and analyze resources. Additionally, the Prometheus Server features a built-in Express Browser UI, which allows users to perform data searches and visualizations directly using PromQL, greatly enhancing the readability and usability of monitoring data. In large-scale monitoring scenarios, the federated cluster capability of the Prometheus Server is particularly significant. Through this capability, the Server can aggregate data from other Prometheus servers, enabling flexible system expansion through federation and functional partitioning strategies. Grafana, as a versatile visualization tool, demonstrates its “universality” by adapting to various data visualization needs, not limited to just Prometheus monitoring data. In Grafana’s architecture, data providers like Prometheus are referred to as data sources, meaning that Grafana can integrate with multiple data sources, offering users a wealth of visualization options. The officially supported data source platforms encompass nearly all data monitoring tools, greatly facilitating those who wish to convert collected data into visual charts. Users simply need to adjust the interface, access the data and analysis results stored by the monitoring tools, connect the data sources to Grafana, and design the layout and specific display content of the panels to easily achieve data visualization. This book will be of particular interest to researchers in the fields of blockchain, privacy concerns, and network security. It is the first book to comprehensively summarize cross-chain architecture and classification, analyze security challenges and potential requirements, and present numerous innovative technologies and practical solutions for regulation and privacy. Introduction Foundations Cross-Chain Abnormal Account Detection Cross-Chain Network Anomaly Detection Cross-Chain Traffic Anomaly Detection Cross-Chain Provenance Tracking Generic Privacy-Aware Cross-Chain Framework Lightweight Cross-Chain Privacy-Preserving Protocol Balance of Privacy and Regulation for Cross-Chain Transactions