Security and Privacy in Large-Scale Data Networks

Dear Colleagues,

With the advent of the Internet of Everything era, large-scale data networks represented by social networks and the Internet of Things have penetrated into all aspects of our daily lives, and it may completely change the interconnection and interdependence of the Internet. It is undeniable that the large-scale data networks represented by social networks greatly facilitate everyone's daily life and greatly expand their social networks. Large-scale systems such as social networks and the Internet of Things produce big data that commonly used computer software and hardware cannot capture, manage, and process within a tolerable amount of elapsed time.

However, there remain challenges that need to be addressed due to the complexity and heterogeneity of large-scale data networks such as social networks and the Internet of Things. These challenges include security, privacy, and communication security, a lack of which can lead to various attacks, including the spread of malicious code and the leakage of key personal information. In recent years, researchers have developed advanced technologies to analyze, detect, and prevent these potential threats, such as Sybil attacks and social spam. The purpose of this Special Issue is to promote the study of security issues in large-scale data networks. Ensuring that large-scale data networks such as social networks and the Internet of Things are secure has become a topic of increasing interest to both researchers and developers from academic fields and industries worldwide.

Prof. Dr. Hao Peng
Dr. Zheli Liu
Prof. Dr. Jin Li
Prof. Dr. Yang Xiang
Guest Editors

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