Cyber Security Fraud Prevention using Data Analytics
Georgiev Ivan, 2017
Betreuende Dozierende: Marc Schaaf
This thesis focuses on cybersecurity by applying data analysis more specifically on real-time data analysis in banking industries in order to identify malware intrusions. Nowadays, information technologies have developed very fast and they have been the main tool that pushes business and economy of every country. Along with all benefits, there are also IT-related risks. Because of the widespread usage of IT in every industry, hackers have become more sophisticated in their methods to attack industries, which rely heavily on information technologies. Many government agencies and industries across the world face cyber threats. Financial services have one of the highest rates of cyber attacks. In order to fight these cyber threats, banks need to implement different mechanisms, principles, practices, and frameworks in order to improve the internal security....
Studiengang: Business Information Systems (Master)
Fachbereich der Arbeit: Wirtschaftsinformatik & IT-Management