Abstract Blockchain has decentralization characteristics and requires more targeted security schemes to protect user privacy. In contrast, existing signature schemes have many high‐complexity operations and impose an enormous computational burden on wireless nodes. This article proposes a light‐weighted identity privacy scheme for blockchain‐based on edge computing. We construct linkable identity privacy and non‐linkable identity privacy, which can resist collusion attacks while virtually guaranteeing blockchain nodes' identity privacy. Since edge computing offloads heavily, the proposed scheme has lower computational complexity than the existing techniques.

Abstract With the popularity of cloud computing, cloud storage technology has also been widely used. Among them, data integrity verification is a hot research topic. At present, the realization of public auditing has become the development trend of integrity verification. Most existing public auditing schemes rarely consider some indispensable functions at the same time. Thus, in this article, we propose a comprehensive public auditing scheme (PDBPA) that can simultaneously support data privacy protection, data dynamics, and multi‐user batch auditing. To guarantee privacy protection during the audit process, our PDBPA design a new method of constructing audit proof, which combines random masking techniques and bilinear properties of bilinear pairing. Not only can it ensure that TPA performs audits correctly, but it can also prevent it from exploring the user's sensitive data. In addition, by utilizing the modified dynamic hash table, which is a novel and small two‐dimensional data structure, data dynamics can be effectively achieved. Furthermore, we provide a detailed process for the third‐party auditors to perform batch audits for multiple users. Moreover, we give the detailed and rigorous security analysis in defending against forgery attack, replace attack, and replay attack. Performance evaluations demonstrate that our PDBPA scheme is effective and feasible.

Abstract With the rapid development of urbanization, a series of burglary cases occurred frequently. It is very important to push suspicious cases according to the top rank in order to improve the ability of intelligent concatenation cases. This article proposes a method of selecting burglary cases based on multidimensional features and PageRank, which could analyze the fact description of burglary cases, extract the multidimensional features of cases and perform feature representation to obtain the feature vector of each case. Then it constructed the network through the similarity between the multidimensional features and used PageRank to calculate the importance of each case for ranking. At last, the algorithm is verified based on the real data of burglary cases. The experimental results showed that the robustness test is better than the other two methods. And the proposed method is more effective and can be better applied to the sorting of burglary cases.

Summary With the development of information technology, the Internet of Things terminals are vulnerable to threats such as eavesdropping, tampering, and counterfeiting. The application of threshold group signature technology can effectively ensure the security of the system in applications such as battlefield intelligent decision‐making, connected vehicles, and intelligent manufacturing. However, the existing threshold group signature schemes lack the two‐way trusted authentication mechanism between group members and group manager, and group manager can easily become a security risk for the entire signature system. To solve this problem, this paper proposes a threshold group signature scheme based on elliptic curve that achieves mutual authentication of group members and group manager. The security analysis proves that the proposed scheme is anonymous, traceable, and can resist collusion attacks and frame attacks. The results of performance analysis and comparison also show that under the same security strength, the scheme proposed has shorter signature length, lower calculation amount for signature generation and signature verification, which can effectively reduce the communication and calculation overhead of the IoT terminal, and can be better applied to the Internet of Things application scenarios.