Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection
Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press)
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7
Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component ...
Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet
Conference Proceeding
Paulin, A., & Thuemmler, C. (2016)
Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom),, (245-248). https://doi.org/10.1109/HealthCom.2016.7749462
This paper describes the use of the Secure SQL Server system (SecSQL) – a system for dynamic fine-grained access control, in the context of e-Health. The system was used in tw...
NetHost-Sensor: Investigating the capture of end-to-end encrypted intrusive data
Journal Article
Buchanan, W., Munoz, J., Abimbola, A., Abimbola, A., Munoz, J., & Buchanan, W. J. (2006)
NetHost-Sensor: Investigating the capture of end-to-end encrypted intrusive data. Computers and Security, 25(6), 445-451. doi:10.1016/j.cose.2006.04.001
Intrusion Detection Systems (IDSs) are systems that protect against violation of data integrity, confidentiality and availability of resources. In the past 20 years, these sys...
Investigating false positive reduction in HTTP via procedure analysis.
Conference Proceeding
Abimbola, A., Munoz, J., & Buchanan, W. J. (2006)
Investigating false positive reduction in HTTP via procedure analysis. https://doi.org/10.1109/ICNS.2006.65
This paper focuses on high false-positive rate of attacks. First, the merits and demerits of research work in curbing false positive rate of attacks in intrusion detection sys...
Performance analysis of network based forensic systems for in-line and out-of-line detection and logging.
Conference Proceeding
Graves, J., Buchanan, W. J., Saliou, L. & Old, L. J. (2006)
Performance analysis of network based forensic systems for in-line and out-of-line detection and logging. ISBN 1905305206
Network based forensic investigations often rely on data provided by properly configured network- based devices. The logs from interconnected devices such as routers, servers ...