Cybersecurity Design of Data-Intensive Systems

Summary

This thesis offers an in-depth analysis of the intricate landscape of Big Data systems and introduces a design methodology for the development of dependable Big Data systems. A crucial aspect of data-intensive systems lies in architectural design. Different contexts demand diverse architectural solutions, and an overarching generic vision for such systems is largely unavailable. Therefore, the thesis conducts an extensive analysis of software architectures suitable for Big Data systems. By scrutinizing existing approaches, it offers valuable insights that architects and engineers can leverage to make informed design decisions, contributing to the optimization of architectures for Big Data systems. The thesis provides a comprehensive exploration of data-intensive systems, with a central focus on modeling, designing, securing, and detecting threats. The insights and findings acquired contribute to the development of advanced data-intensive systems and enhance our understanding of the challenges and opportunities within this complex domain.