"From Viruses to Social Bots, Researchers Unearth the Structure of Attacked Networks"
Researchers are looking at how viruses interact with proteins and genes in the human body in order to further understand how to combat cyberattacks on computer networks as well as other adversarial attacks in fields such as ecology, social science, neuroscience, and more. A machine learning model of the protein interaction network has been developed by researchers to explore how viruses operate. This research can be applied to different types of attacks and network models across different fields, including network security. The capacity to determine how trolls and bots influence users on social media platforms has also been explored through this research. This article continues to discuss the machine learning model of the protein interaction network and the application of this research to different fields.