Security, Privacy, Confidentiality and Trust in Blockchain
- 发表年份
- 2025
- 引用次数
- 2
摘要
This Special Issue presents cutting-edge research in blockchain security, privacy, confidentiality, and trust mechanisms. The collection encompasses ten peer-reviewed papers that address critical challenges in blockchain technology implementation. The contributions span theoretical foundations and practical applications, including post-quantum cryptographic solutions, smart contract vulnerability detection, and privacy-preserving protocols. Notable advances include NTRU-based schemes for underwater communications, heterogeneous semantic graphs for security analysis, and zero-knowledge proofs for distributed systems. The research demonstrates significant progress in energy-efficient security protocols, particularly in IoT environments and multi-robot coordination. Several papers explore blockchain applications in emerging domains such as the metaverse, cryptocurrency transaction security, and vehicular networks. This Special Issue highlights the successful integration of blockchain with artificial intelligence and machine learning techniques for enhanced security. Each contribution has undergone rigorous peer review, and represents a substantial advancement in its respective domain. This collection serves as a valuable resource for researchers, practitioners, and developers working in blockchain security and related fields.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002