Blockchain technology has recently attracted tremendous interest due to its potential to revolutionize the industry by achieving decentralization while increasing the number of data sources, transparency, reliability, auditability, and trustworthiness. However, one of the major barriers to the widespread adoption of blockchain applications is the lack of mutual consensus and management across blockchains. Cross-blockchain consensus refers to one blockchain network reaching a consensus with another blockchain network to provide the ability to interact and share data. In this paper, we propose a secure management scheme with symmetric cross-blockchain communication and certificateless signature primitives, in which two heterogeneous blockchains are linked by a relay chain to simultaneously deliver cross-blockchain transaction security, achieve compatibility among various blockchains, and ensure the consistency of data exchanged, in practice. Additionally, our evaluation and security analysis shows the practicability and security of our proposed management scheme and demonstrates that a common test platform based on Ethereum can achieve acceptable computation costs.

Predicting rising stars is of public interest. Professional personnel search for rising sports stars is based on experience, which is usually highly subjective. Typically, players’ statistical data are used to make predictions, but rookie players lack abundant statistics, and some personal characteristics may not be reflected in the statistics. Alternatively, online discussions like tweets contain information about players, so the Text Sentiment Deep Prediction for Athletes Career (TSDPAC) algorithm was proposed to use tweets related to NBA players and sentiment analysis to predict whether a player is a rising star. The TSDPAC adopted deep learning techniques to construct the prediction model, which effectively predicted rising stars in the experiments and outperformed the compared algorithms.