Network Hardening - An Automated Approach to Improving Network Security (Paperback, 2014 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computer Science
Release date:	March 2014
First published:	2014
Authors:	Lingyu Wang • Massimiliano Albanese • Sushil Jajodia
Dimensions:	235 x 155 x 4mm (L x W x T)
Format:	Paperback
Pages:	60
Edition:	2014 ed.
ISBN-13:	978-3-319-04611-2
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	3-319-04611-X
Barcode:	9783319046112

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