Damage quarantine and recovery in data processing systems

Peng Liu, Sushil Jajodia, Meng Yu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this article, we address transparent Damage Quarantine and Recovery (DQR), a very important problem faced today by a large number of mission, life, and/or business-critical applications and information systems that must manage risk, business continuity, and assurance in the presence of severe cyber attacks. Today, these critical applications still have a good chance to su?er from a big hit from attacks. Due to data sharing, interdependencies, and interoperability, the hit could greatly amplify its damage by causing catastrophic cascading effects, which may force an application to halt for hours or even days before the application is recovered. In this paper, we ?rst do a thorough discussion on the limitations of traditional fault tolerance and failure recovery techniques in solving the DQR problem. Then we present a systematic review on how the DQR problem is being solved. Finally, we point out some remaining research issues in fully solving the DQR problem.

Original languageEnglish (US)
Title of host publicationHandbook of Database Security
Subtitle of host publicationApplications and Trends
PublisherSpringer US
Pages383-407
Number of pages25
ISBN (Print)9780387485324
DOIs
StatePublished - Dec 1 2008

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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