42899 Applied Data Analytics for Cybersecurity

Description

Applied Data Analytics for Cybersecurity covers 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 introduces a number of new cybersecurity challenges, such as malware analysis, adversarial machine learning, deep learning based anomaly detection, privacy preserving data analytics, etc. Applied Data Analytics for Cybersecurity introduces students to the artificial intelligence technologies for cybersecurity and to the most common approaches to data analytics. This subject offers practice in the applied data analytics of cybersecurity, identifying security risks, threats and vulnerabilities to corporate computers and networks.