Evaluating the impact of intrusion detection deficiencies on the cost-effectiveness of attack recovery

Hai Wang, Peng Liu, Lunqun Li

Research output: Contribution to journalArticle

5 Scopus citations


Traditional secure database systems rely on preventive controls and are very limited in surviving malicious attacks because of intrusion detection deficiencies. ITDB, a Intrusion Tolerant Database prototype system, has been proposed, which can detect intrusions, repair the damage caused by intrusions in a timely manner. In this paper, we evaluate ITDB using TPC-C benchmark. The performance measurements show that ITDB system is cost-effective within reasonable False Alarm Rate and Detection Latency ranges. Our experiment results also indicate that ITDB can achieve good survivability without being seriously affected by various intrusion detection deficiencies. It can provide essential database services in the presence of attacks, and maintain the desired essential (security) properties such as integrity and performance.

Original languageEnglish (US)
Pages (from-to)146-157
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
StatePublished - Dec 1 2004


All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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