Xiaosong Zhang

Title: Innovations of Xiaosong Zhang

Introduction

Xiaosong Zhang is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of technology, particularly in blockchain and malware detection. With a total of five patents to his name, Zhang's work reflects his innovative spirit and dedication to advancing technology.

Latest Patents

One of Xiaosong Zhang's latest patents is a "Blockchain sharding method, system, and server based on locally repairable system codes." This invention provides a blockchain sharding system that includes k original shards and n−k encoding shards. In each round of consensus, each original shard and m corresponding encoding shards form a local verification group. This group is responsible for verifying the legitimacy of transactions, ensuring that even if a single shard is corrupted, the remaining shards can still reach a consistent verification result.

Another notable patent is the "Method for detecting malware within a Linux platform." This method involves disassembling ELF format benign software and malware samples to generate assembly files. It includes analyzing the code segments, establishing control flow graphs, and using machine learning tools to classify ELF samples. This innovative approach enhances the detection of malware in Linux environments.

Career Highlights

Xiaosong Zhang has worked at prestigious institutions such as Sichuan University and the University of Electronic Science and Technology of China. His experience in these organizations has allowed him to collaborate with other experts in the field and contribute to various research projects.

Collaborations

Some of Xiaosong Zhang's notable coworkers include Junfeng Wang and Jie Liang. Their collaboration has likely fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Xiaosong Zhang's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work in blockchain and malware detection showcases the potential for innovation in addressing contemporary challenges.