Recent advances in artificial intelligence (AI) are radically changing how systems and
applications are designed and developed. In this context, new requirements and regulations …

To gain a comprehensive understanding of a patient's health, advanced analytics must be
applied to the data collected by electronic health record (EHR) systems. However, managing …

Modern applications are increasingly driven by Machine Learning (ML) models whose non-
deterministic behavior is affecting the entire application life cycle from design to operation …

Fog computing is a complementary paradigm to cloud computing. It aims to improve the
performance of Internet of Things (IoT) applications by positioning fog computing nodes …

In the modern digital era centralized and distributed systems emerge as two prominent
paradigms for organizing ICT infrastructure, each presenting distinct advantages and …

Cloud computing has been a driving force for many technological innovations and
transformations in various domains and industries. It offers scalable and cost-effective …

In this paper, we explore different deployment models for data engines and elucidate their
implications on data pipeline behavior. Specifically, we examine the impact on data sharing …

Modern service-based systems are characterized by applications composed of
heterogeneous services provided by multiple, untrusted providers, and deployed along the …

This book, authored by some of the pioneers in the security certification domain, provides a
foundational knowledge base for designing and deploying effective security certification …

Since its early introduction in the Eighties, certification has been a primary way to document
the verification of systems behavior. Certification schemes and corresponding processes …