TRACE: Zero-down-time database damage tracking, quarantine, and cleansing with negligible run-time overhead

Kun Bai, Meng Yu, Peng Liu

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

5 Scopus citations

Abstract

As Web services gain popularity in today's E-Business world, surviving DBMSs from an attack is becoming crucial because of the increasingly critical role that database servers are playing. Although a number of research projects have been done to tackle the emerging data corruption threats, existing mechanisms are still limited in meeting four highly desired requirements: near-zero-run-time overhead, zero-system-down time, zero-blocking-time for read-only transactions, minimal-delay-time for read-write transactions. In this paper, we propose TRACE, a zero-system-down-time database damage tracking, quarantine, and recovery solution with negligible run time overhead. TRACE consists of a family of new database damage tracking, quarantine, and cleansing techniques. We built TRACE into the kernel of PostgreSQL. Our experimental results demonstrated that TRACE is the first solution that can simultaneously satisfy the first two requirements aforementioned and the first solution that can satisfy all the four requirements.

Original languageEnglish (US)
Title of host publicationComputer Security - ESORICS 2008 - 13th European Symposium on Research in Computer Security, Proceedings
PublisherSpringer Verlag
Pages161-176
Number of pages16
ISBN (Print)3540883126, 9783540883128
DOIs
StatePublished - 2008
Event13th European Symposium on Research in Computer Security, ESORICS 2008 - Malaga, Spain
Duration: Oct 6 2008Oct 8 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5283 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th European Symposium on Research in Computer Security, ESORICS 2008
Country/TerritorySpain
CityMalaga
Period10/6/0810/8/08

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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