NDLI: Using Attack and Protection Trees to Analyze Threats and Defenses to Homeland Security

Content Provider	IEEE Xplore Digital Library
Author	Edge, K.S. Dalton, G.C. Raines, R.A. Mills, R.F.
Copyright Year	2006
Description	Author affiliation: Air Force Inst. of Technol., Wright-Patterson AFB, OH (Edge, K.S.; Dalton, G.C.; Raines, R.A.; Mills, R.F.)
Abstract	Attacks against computer networks are a serious threat and occur quite often. Currently there are methods using attack trees that can be used to model how these attacks may occur. We have extended this concept to a new tree structure called a protection tree as a tool for decision makers to allocate limited resources towards the appropriate defenses against a specified attack. Protection trees ensure these limited resources are used in a manner to achieve the highest probability of success in stopping an attack. Protection trees are produced systematically by first developing an attack tree, computing metrics for each node of an attack, and then developing a corresponding protection tree with similar metrics. Eventually, libraries of attacks and available protections can be used to automate the process of developing the trees. An example attack and protection tree is used to notionally show how an organization such as the department of homeland security can allocate resources to protect their computer networks from being compromised. Decision makers in the organization can use the resultant protection tree to determine where to allocate limited resources for the best protection of their network
Starting Page	1
Ending Page	7
File Size	7887774
Page Count	7
File Format	PDF
ISBN	142440617X
DOI	10.1109/MILCOM.2006.302512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protection Terrorism Computer network reliability Logic Computer networks Resource management Risk analysis Tree data structures Costs Performance analysis
Content Type	Text
Resource Type	Article

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