From viruses to social bots, researchers unearth the structure of attacked networks
| Title | From viruses to social bots, researchers unearth the structure of attacked networks |
| Publication Type | Magazine Article |
| Year of Publication | 2019 |
| Secondary Authors | Yuankun Xue, Paul Bogdan |
| Magazine | Science Daily |
| Date Published | 5/29/2019 |
| Keywords | Articles of Interest, attacked network, C3E 2019, Cognitive Security, Cognitive Security in Cyber, machine learning |
| Abstract | 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. |
| URL | https://www.sciencedaily.com/releases/2019/05/190529131227.htm |
| Citation Key | node-62415 |