Emergency alerts as RSS feeds with interdomain authorization

Filippo Gioachin, Ravinder Shankesi, Michael J. May, Carl A. Gunter, Wook Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Emergency alert systems typically demand push notification because of the infrequency of such events and the urgency of notifying parties about them. However, push notification systems like email have many limitations, such as susceptibility to SPAM and security vulnerabilities. We explore the idea of basing health alerts on RSS feeds, which are a polling-based notification system. Since emergency alerts may be restricted to parties like doctors or health administrators and may be drawn from diverse administrative domains, RSS for health alerts requires a mechanism for expressing and enforcing inter-domain access policies for feeds. In particular, we explore using Shibboleth, a federated identity system developed for use in universities, and an attribute-based policy language, to provide secure RSS for emergency alerts. We validate the approach by showing how it can be used to deliver CDC PHIN health alerts. Our experimental validation shows that, based on our design, existing server technologies can obtain acceptable throughput even with fairly complex and diverse access policies.

Original languageEnglish (US)
Title of host publicationSecond International Conference on Internet Monitoring and Protection, ICIMP 2007
PublisherIEEE Computer Society
Pages13-20
Number of pages8
ISBN (Print)0769529119, 9780769529110
DOIs
StatePublished - 2007
Event2nd International Conference on Internet Monitoring and Protection, ICIMP 2007 - San Jose, CA, United States
Duration: Jul 1 2007Jul 5 2007

Publication series

NameSecond International Conference on Internet Monitoring and Protection, ICIMP 2007

Other

Other2nd International Conference on Internet Monitoring and Protection, ICIMP 2007
Country/TerritoryUnited States
CitySan Jose, CA
Period7/1/077/5/07

ASJC Scopus subject areas

  • General Computer Science

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