Abstract
Conference Title: 2017 2nd International Conference on Anti-Cyber Crimes (ICACC) Conference Start Date: 2017, March 26 Conference End Date: 2017, March 27 Conference Location: Abha, Saudi Arabia This paper presents 2-Dimensional visualization to categorize packets of network traffic into normal data pattern and attack data pattern based on the patterns resulted by a brute force attack. Two clustering methods: K-Means and Nïve Bayes methods are used to produce the data to be visualized. Experiments using ISCX and DARPA dataset were conducted. Brute force assaults on some service protocols. This paper focuses on SSH service for ISCX dataset and TELNET service for DARPA dataset. Visual analysis of the experimental results show a better results in term of accuracy by reducing false alarms.