Abstract
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 existing ones and the experimental results show that ours has greater perceptual efficiency. The ideas and results of this study will contribute toward 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.