A Data Damage tracking Quarantine and Recovery (DTQR) scheme for mission-critical database systems

Kun Bai, Peng Liu

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

11 Scopus citations

Abstract

Database security research aims to protect a database from unintended activities, such as authenticated misuse, malicious attacks. In recent years, surviving DBMS from an attack is becoming even more crucial because networks have become more open and the increasingly critical role that database servers are playing nowadays. Unlike the traditional database failure/attack recovery mechanisms, in this paper, we propose a light-weight dynamic Data Damage Tracking, Quarantine, and Recovery (DTQR) solution. We built the DTQR scheme into the kernel of PostgreSQL. We comprehensively study this approach from a few aspects (e.g., system overhead, impact of the intrusion detection system), and the experimental results demonstrated that our DTQR can sustain an excellent data service while healing the database server when it is under a malicious attack.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th International Conference on Extending Database Technology
Subtitle of host publicationAdvances in Database Technology, EDBT'09
Pages720-731
Number of pages12
DOIs
StatePublished - 2009
Event12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09 - Saint Petersburg, Russian Federation
Duration: Mar 24 2009Mar 26 2009

Publication series

NameProceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09

Other

Other12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09
Country/TerritoryRussian Federation
CitySaint Petersburg
Period3/24/093/26/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software

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