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Performing a vulnerability assessment of any computing infrastructure is an essential component towards improving a system's security. This is achieved through identifying and mitigating security weaknesses on a recurring basis. Undertaking a vulnerability assessment requires in-depth knowledge of the underlying system architecture, available data sources for assessment, algorithmic techniques to assist in identifying vulnerabilities through data processing, and visualisation technologies capable of increasing human understanding and minimising cognitive load. This book covers various aspects of vulnerability assessment, including recent advancements in reducing the requirement on expert knowledge through novel applications of artificial intelligence. This book contains many case studies and can be used by security professionals and researchers as reference text, detailing how they can develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.