Web Science and Digital Libraries Research Group

Figure 1: Overview of 110,766 CVEs reported from 1998 to 2018 obtained from the NVD. Layers are severity classification: low, medium, high, and critical. (Source: Pham et al.) Computing network facilities and data storages in national, industry, academic research labs, and offices are all possible targets of cyber attacks. A network vulnerability analysis, remediation, and alerting tool that can help enhance the security against cyber attacks caused by human error can potentially reduce network vulnerabilities. Even though human error is the most significant cybersecurity vulnerability (e.g., falling for phishing , unrestrained web browsing, and weak passwords ), most commercial  vulnerability scanners are not designed to detect vulnerabilities introduced by humans interacting with the system. In their paper, CVExplorer: Multidimensional Visualization for Common Vulnerabilities and Exposures , Pham et al. introduce a novel interactive system for visualizing cybersecurity threats