EDBT/ICDT 2009 Joint Conference

Electronic Conference Proceedings

• Welcome
• Full Program
• ICDT Sessions
• ICDT Papers
• EDBT Sessions
  • Invited Talks
  • Research Track
    • System Architectures
    • Spatio-Temporal
    • Database Summarization
    • Query Processing
    • XML, XPath, XQuery
    • Graph Techniques
    • Privacy & Security
    • Data Models
    • Stream Processing
    • XML, XPath, XQuery
    • Database Summarization
    • Query Processing
    • Top-K Techniques
    • Graph Techniques
    • Data Mining
    • Heterogeneous & Distributed
    • System Architectures
    • Privacy & Security
    • Uncertainty
    • Workflow Techniques
    • Multi-Dimensional
    • Caching Techniques
    • Information Retrieval
    • Query Processing
    • Top-K Techniques
    • Potpourri
    • Provenance
    • Spatio-Temporal
    • Skylines
    • Transaction Processing
  • Industrial Track
  • Demo Track
  • Tutorials
• EDBT Papers
• Author Index
• Workshops

A Data Damage Tracking Quarantine and Recovery (DTQR) Scheme for Mission-Critical Database Systems

Authors

• Kun Bai (Pennsylvania State University, USA)
• Peng Liu (Pennsylvania State University, USA)

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.

Session

EDBT Research Session 20: Workflow Techniques (Thursday, March 26, 11:00—12:30)