Integrated Visual Analytics Approach against Multivariate Cybersecurity Attack
Taewoong Kwon, Iksoo Shin, Kyuil Kim, Jungsuk Song, Jun Lee · 2020
As security threats rapidly spread all over the world, it is critical that network traffic is monitored and protected from abnormal attacks during 24/7. Even though various security devices (Rep., network intrusion detection system, NIDS) had utilized to guarantee a solid network security, it still depends on human being due to complex patterns from unknown threats. This study introduces a graphical interactive system for representing and understanding multivariate cybersecurity attacks. In particular, the interface enhances intuitive judgments combined with machine learning-based analysis of suspicious traffic