ABSTRACT
As online applications gain popularity in today's E-Business world, surviving DBMS 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. In this paper, we propose TRACE, a light weighted database Damage Tracking, Quarantine, and Recovery (DTQR) solution with negligible run time overhead.
- P. Ammann, S. Jajodia, and P. Liu. Recovery from malicious transactions. IEEE Transaction on Knowledge and Data Engineering, 14(5):1167--1185, 2002. Google ScholarDigital Library
- http://www.tpc.org/tpcc/. TPC-C Benchmark.Google Scholar
- Postgresql. http://www.postgresql.org/.Google Scholar
Index Terms
- A light weighted damage tracking quarantine and recovery scheme for mission-critical database systems
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