Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-13T01:08:17.807Z Has data issue: false hasContentIssue false

Appendix D - Validation of direction-conforming rule

Published online by Cambridge University Press:  05 September 2012

Antonio Nucci
Affiliation:
Narus Inc., Mountain View, California
Konstantina Papagiannaki
Affiliation:
Intel, Pittsburgh, Pennsylvania
Get access

Summary

Due to the challenges of obtaining an AS topology annotated with AS relationships, it is infeasible to use the valley-free rule to identify redistribution path spoofing in the work. Alternatively, we apply the direction-conforming rule to the AS topology annotated with directed AS-links to carry out the detection. The following theorems show that the direction-conforming rule actually shows roughly equivalent efficiency.

Theorem D.1

For an observer AS, a valley-free path in the AS topology annotated with AS relationships must be “direction-conforming” in the corresponding AS topology annotated with inferred directed AS-links.

Theorem D.2

  1. (1) For a Tier-1 AS, the direction-conforming paths in the AS topology annotated with inferred directed AS-links must be valley-free in the real AS topology annotated with AS relationships.

  2. (2) For a non-Tier-1 AS, except the redistribution path-spoofing paths launched by the provider ASs, the direction-conforming paths must be valley-free.

In order to prove these theorems, we first investigate the mapping between the real AS topology annotated with AS relationships and the inferred AS topology annotated with directed AS-links.

Note that, similar to the analysis in the text, we assume that the inferred topology is “ideally” complete, namely it contains all legitimate directed AS-links that the observer AS should see. In order to infer a complete AS topology comprising of directed AS-links based on the route announcements from the observer AS, we assume an ideal inference scenario, in which the AS connections and relationships do not change over the inference period and every AS tries all possible valid routes.

Type
Chapter
Information
Design, Measurement and Management of Large-Scale IP Networks
Bridging the Gap Between Theory and Practice
, pp. 379 - 381
Publisher: Cambridge University Press
Print publication year: 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×