Detecting Logical Bugs in DBMS via Isomerism Fuzz System
The complexity and diversity of DBMSs present significant challenges and implications for testing. Fuzzing has become a standard approach for detecting bugs in DBMSs. However, the increasing complexity of DBMS architectures brings new challenges to its effectiveness and coverage. This paper introduces the idea of fuzzing DBMS via Isomerism System, which includes multiple instances of one DBMS using different components and configurations. By fuzzing these isomorphic systems, the scope of classic differential testing is expanded, increasing its applicability and efficiency. We implemented this system within SQLancer and tested it on popular DBMSs, ultimately discovering 10 previously unknown types of bugs. The experimental results demonstrate the system's usability and efficiency.
Authors
- Liang Liu (ORCID: https://orcid.org/0000-0002-4903-2666)
- Ning Wang (ORCID: https://orcid.org/0000-0001-8903-8790)
- Zhe Wang (ORCID: https://orcid.org/0000-0002-1367-7139)
Institutions
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iaecst64597.2024.11117732
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Civil Aviation University of China