42897 Data Analytics for Cybersecurity Foundations2cp
Anti-requisite(s): 41180 Data Analytics in Cyber Security
Data Analytics for Cybersecurity Foundation introduces big data capabilities with threat intelligence to help detect, analyse and alleviate the insider threats, as well as targeted attacks from external bad actors and persistent cyber threats. It includes a number of IT areas, such as data analytics methods for identifying security issues in data; packet analysis for insider threats; Network package and DDoS Attack analysis from external threats; and other intelligent technologies that derive cybersecurity issues from data. Data Analytics for Cybersecurity Foundations introduces students to the significance and language of data analytics for cybersecurity and the most common approach to standard process for data analytics. This subject offers practice in the foundations of data analytics of cybersecurity, including identifying security risks, threats and vulnerabilities to the corporate computers and networks.
Detailed subject description.