Modern cyber security analysts apply analytics driven approach to identify complex threats like APT by processing large amount of information from different sources, including email and social activity, full-packet and Domain Name System captures, business process data, external threat feeds such as IBM X-Force, malware information, network flows and anomalies.
R is widely recognized as the world's most powerful data analytics software. As a Free and Open Source Software, R has been developed and maintained by a community of passionate enthusiasts, who have been developing modules for extending the capabilities of the base R package. R employs sophisticated modeling techniques such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques, and is highly extensible.
This workshop aims at meeting a growing need in Data Analytics among the faculty and Researchers The two week training program will expose the participants to a comprehensive overview of R in Data Mining, Analytics, visualization and a hands-on experience in applying them to data in support of cyber security with specific focus on intrusion detection data. The participants will learn how to prepare data for analysis, compute various statistical measures, create reusable R functions, create meaningful data visualizations, classify malicious data packets from the normal packets etc, create models for screening packets at the firewall, and more!