ISSN: 2165- 7866
+44 1300 500008
Ilju Seo
Posters-Accepted Abstracts: J Inform Tech Soft Engg
The botnets are one of the most dangerous species of network-based attack. They cause severe network disruptions through
massive coordinated attacks nowadays and the results of this disruption frequently cost enterprises large sums in financial
losses. In this paper, we make an in-depth investigation on the issue of botnet detection and present a new security visualization
tool for visualizing botnet behaviors on DNS traffic. The core mechanism is developed with the objective of enabling users to
recognize security threats promptly and mitigate the damages by only visualizing DNS traffic in cylindrical coordinates. We
compare our visualization method with the existing ones and the experimental results show that ours has greater perceptual
efficiency. The ideas and results of this study will contribute towards designing an advanced visualization technique that offers
better security. Also, the approach proposed in this study can be utilized to derive new and valuable insights in security aspects
from the complex correlations of Big Data.