Overview
Grad Dip IT | Core | |
M IT | Core |
One of the most important fields in both data science and cyber security is emerging: secure data science, which combines the two fields. This unit first provides an overview of cloud computing and big data security and privacy, then it discusses data science applications for cyber security. Additionally, it covers data science applications like malware analysis and insider threat identification. Next, the unit discusses the latest developments in adversarial machine learning and offers defences against attacks on data science methodologies. It addresses several new developments in reliable analytics, with the goal of protecting analytics methods from malevolent attacks. The concerns about privacy posed by the vast data collection are then the focus, along with possible remedies. It examines applications of services computing integration, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. Students, researchers, software engineers, instructors, and managers who wish to comprehend both the technical specifics and the high-level ideas around the design and execution of safe data science-based systems may find this unit to be a helpful resource.