Blockchain is playing an important role in secure decentralization in emerging fields such as the Internet of Things, metaverse, edge computing, social networking, crowdsourcing, next-generation wireless communications, and more. Blockchain is expected to be widely used in various fields because it could ensure that the data itself is not tampered with, lost, or damaged.

However, it needs to evolve further in terms of security, privacy, efficiency, flexibility, availability, and high dependability. Moreover, it is precisely due to the security of transactions that many criminals choose to conduct transactions on the blockchain, which has an extremely negative impact on society. Therefore, ensuring that the source of block information is reliable, avoiding the risk of abnormal transactions in the blockchain, and making the abnormal transactions on the chain detectable, traceable, and manageable are important issues.

This Special Issue aims to gather novel ideas on theories, systems, and applications to improve the technical aspects of abnormal transaction detection and tracking between blockchain systems. This Issue will focus on state-of-the-art research on detectable, traceable, and manageable blockchain technologies. We welcome original research and review articles.

Potential topics include but are not limited to the following:

• Abnormal transaction detection in the blockchain
• Source tracking of abnormal transactions in the blockchain
• Transaction risk control in blockchain
• Security, privacy, and trust of blockchain-based decentralized systems
• Fraud-detection based on blockchain/artificial intelligence in the metaverse
• Data analytics to identify malicious behaviors in the metaverse
• Blockchain-based threat intelligence and threat analytics techniques
• Blockchain-based intrusion detection/prevention
• Security, privacy, and trust schemes for blockchain
• Supervision, auditing, and forensics for blockchain
• Cross-chain systems designed for supervision
• Transaction monitoring and analysis