This Springer Brief examines the tools based on attack graphs that help reveal network hardening threats. Existing tools detail all possible attack paths leading to critical network resources. Though no current tool provides a direct solution to remove the threats, they are a more efficient means of network defense than relying solely on the experience and skills of a human analyst. Key background information on attack graphs and network hardening helps readers understand the complexities of these tools and techniques. A common network hardening technique generates hardening solutions comprised of initially satisfied conditions, thereby making the solution more enforceable. Following a discussion of the complexity issues in this technique, the authors provide an improved technique that considers the dependencies between hardening options and employs a near-optimal approximation algorithm to scale linearly with the size of the inputs. Also included are automated solutions for hardening a network against sophisticated multi-step intrusions. Network Hardening: An Automated Approach to Improving Network Security is a valuable resource for researchers and professionals working in network security. It is also a useful tool for advanced-level students focused on security in computer science and electrical engineering.
This book focuses on modelling issues and their implications for the correct design of reactive absorption–desorption systems. In addition, it addresses the case of carbon dioxide (CO2) post-combustion capture in detail. The book proposes a new perspective on these systems, and provides technological solutions with comparisons to previous treatments of the subject. The model that is proposed is subsequently validated using experimental data. In addition, the book features graphs to guide readers with immediate visualizations of the benefits of the methodology proposed. It shows a systematic procedure for the steady-state model-based design of a CO2 post-combustion capture plant that employs reactive absorption-stripping, using monoethanolamine as the solvent. It also discusses the minimization of energy consumption, both through the modification of the plant flowsheet and the set-up of the operating parameters. The book offers a unique source of information for researchers and practitioners alike, as it also includes an economic analysis of the complete plant. Further, it will be of interest to all academics and students whose work involves reactive absorption-stripping design and the modelling of reactive absorption-stripping systems.
This Springer Brief examines the tools based on attack graphs that help reveal network hardening threats. Existing tools detail all possible attack paths leading to critical network resources. Though no current tool provides a direct solution to remove the threats, they are a more efficient means of network defense than relying solely on the experience and skills of a human analyst. Key background information on attack graphs and network hardening helps readers understand the complexities of these tools and techniques. A common network hardening technique generates hardening solutions comprised of initially satisfied conditions, thereby making the solution more enforceable. Following a discussion of the complexity issues in this technique, the authors provide an improved technique that considers the dependencies between hardening options and employs a near-optimal approximation algorithm to scale linearly with the size of the inputs. Also included are automated solutions for hardening a network against sophisticated multi-step intrusions. Network Hardening: An Automated Approach to Improving Network Security is a valuable resource for researchers and professionals working in network security. It is also a useful tool for advanced-level students focused on security in computer science and electrical engineering.
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