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SQLrand: Preventing SQL Injection Attacks
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Citations
Cited by
Cybersecurity data science: an overview from machine learning perspective
Sarker, I. H., Kayes, A. S. M., Badsha, S., Alqahtani, H., Watters, P., & Ng, A. (2020) · Journal of Big Data · doi:10.1186/s40537-020-00318-5 · Cited by 766
AMNESIA: analysis and monitoring for NEutralizing SQL-injection attacks
Halfond, W. G. J., & Orso, A. (2005) · Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering · doi:10.1145/1101908.1101935 · Cited by 527
The essence of command injection attacks in web applications
Su, Z., & Wassermann, G. (2006) · Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages · doi:10.1145/1111037.1111070 · Cited by 515
Prompt Injection attack against LLM-integrated Applications
Liu, Y., Deng, G., Li, Y., Wang, K., Wang, Z., Wang, X., Zhang, T., Liu, Y., Wang, H., Zheng, Y., et al. (2023) · arXiv · doi:10.48550/arxiv.2306.05499 · Cited by 100
Metadata
- Authors
- Boyd, S. W., & Keromytis, A. D.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 292-302
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1648477960
- Cited by
- 429
- References
- 0
- FWCI
- 10.57
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: SQLrand: Preventing SQL Injection Attacks. https://app.cochat.ai/papers/10.1007/978-3-540-24852-1_21
- The paper
- Boyd, S. W., & Keromytis, A. D. (2004). SQLrand: Preventing SQL Injection Attacks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-24852-1_21
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
