Results by title

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time.

In this title, a team of top experts address cyber security for e-Health technologies and systems. It examines the need for better security and privacy infrastructure, outlining methods and policies for working with sensitive data. The authors focus on the latest methods and visionary work within health and social care for cyber security, making it vital reading for professionals and researchers in healthcare technologies and security, professionals in public health and law, healthcare policy developers and government decision makers.

Hardware trojans - which involve malicious modification of integrated circuits (ICs) during the design or fabrication stage - can give access to sensitive information, deny service, and so on. They can be difficult to detect but have serious consequences for the security of the IC.

High-Level Synthesis based Methodologies for Hardware Security, Trust and IP Protection presents state-of-the art high-level synthesis methodologies for hardware security and trust, including IP protection through synthesis-based watermarking and structural obfuscation.