All Outputs (6)

A pattern-driven corpus to predictive analytics in mitigating SQL injection attack (2018)
Thesis
Uwagbole, S. A pattern-driven corpus to predictive analytics in mitigating SQL injection attack. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/1538260

The back-end database provides accessible and structured storage for each web application’s big data internet web traffic exchanges stemming from cloud-hosted web applications to the Internet of Things (IoT) smart devices in emerging computing. Struc... Read More about A pattern-driven corpus to predictive analytics in mitigating SQL injection attack.

An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack (2017)
Conference Proceeding
Uwagbole, S. O., Buchanan, W. J., & Fan, L. (2017). An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack. In 2017 Seventh International Conference on Emerging Security Technologies (EST),. https://doi.org/10.1109/est.2017.8090392

Emerging computing relies heavily on secure back-end storage for the massive size of big data originating from the Internet of Things (IoT) smart devices to the Cloud-hosted web applications. Structured Query Language (SQL) Injection Attack (SQLIA) r... Read More about An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack.

Numerical Encoding to Tame SQL Injection Attacks (2017)
Conference Proceeding
Uwagbole, S. O., Buchanan, W. J., & Fan, L. (in press). Numerical Encoding to Tame SQL Injection Attacks.

Recent years have seen an astronomical rise in SQL Injection Attacks (SQLIAs) used to compromise the confidentiality, authentication and integrity of organisations' databases. Intruders becoming smarter in obfuscating web requests to evade detection... Read More about Numerical Encoding to Tame SQL Injection Attacks.

Applied web traffic analysis for numerical encoding of SQL Injection attack features (2016)
Conference Proceeding
Uwagbole, S., Buchanan, W., & Fan, L. (2016). Applied web traffic analysis for numerical encoding of SQL Injection attack features. In ECCWS-2016

SQL Injection Attack (SQLIA) remains a technique used by a computer network intruder to pilfer an organisation’s confidential data. This is done by an intruder re-crafting web form’s input and query strings used in web requests with malicious intent... Read More about Applied web traffic analysis for numerical encoding of SQL Injection attack features.

Numerical encoding to tame SQL injection attacks (2016)
Conference Proceeding
Uwagbole, S., Buchanan, W. J., & Fan, L. (2016). Numerical encoding to tame SQL injection attacks. In 2016 IEEE/IFIP Network Operations and Management Symposium (NOMS),. https://doi.org/10.1109/NOMS.2016.7502997

Recent years have seen an astronomical rise in SQL Injection Attacks (SQLIAs) used to compromise the confidentiality, authentication and integrity of organisations’ databases. Intruders becoming smarter in obfuscating web requests to evade detection... Read More about Numerical encoding to tame SQL injection attacks.

Novel tracking of rogue network packets using danger theory approach (2012)
Journal Article
Uwagbole, S., Buchanan, W. J., & Fan, L. (2012). Novel tracking of rogue network packets using danger theory approach. Proceedings of the ... international conference on information warfare and security, 277-286

Recently there has been heightened, continuous, and intrusive activity by remotely located rogue hacking groups, such as Anonymous and Lulzsec. These groups often aim to disrupt computer networks and gain access to private confidential data. A typica... Read More about Novel tracking of rogue network packets using danger theory approach.