Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention

@article{Uwagbole2017AppliedML,
  title={Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention},
  author={Solomon Ogbomon Uwagbole and William J. Buchanan and Lu Fan},
  journal={2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)},
  year={2017},
  pages={1087-1090}
}
The back-end database is pivotal to the storage of the massive size of big data Internet exchanges stemming from cloud-hosted web applications to Internet of Things (IoT) smart devices. Structured Query Language (SQL) Injection Attack (SQLIA) remains an intruder's exploit of choice on vulnerable web applications to pilfer confidential data from the database with potentially damaging consequences. The existing solutions of mostly signature approaches were all before the recent challenges of big… CONTINUE READING

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