Mobile, Embedded, & Wireless Security

Brian Ricks


CS PhD Student
University of Texas at Dallas


Bio

Brian is a PhD student in the Computer Science Department at The University of Texas at Dallas, where he also received his MS and BS degrees in Computer Science, specializing in networking. Brian is co-advised by Patrick Tague at CMU and is an active member of the MEWS research group at CMU-SV. His research interests lie in wireless networking and security, simulation of networks, and applications of Bayesian networks. For fun Brian likes video game design, car audio, working out, and free food.

Brian Ricks

Journal Publications

  1. Brian Ricks and Ole J. Mengshoel, "Diagnosis for Uncertain, Dynamic and Hybrid Domains using Bayesian Networks and Arithmetic Circuits", Elsevier International Journal of Approximate Reasoning, vol. 55, no. 5, Jul 2014. [bib]

Conference/Workshop Publications

  1. Brian Ricks, Patrick Tague, Bhavani Thuraisingham, and Sriraam Natarajan, "Utilizing Threat Partitioning for More Practical Network Anomaly Detection", Proceedings of the 29th ACM Symposium on Access Control Models and Technologies (SACMAT), May 2024. [pdf,bib]

  2. Brian Ricks, Patrick Tague, and Bhavani Thuraisingham, "DDoS-as-a-Smokescreen: Leveraging Netflow Concurrency and Segmentation for Faster Detection", IEEE Intl Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS), Dec 2021. [pdf,bib]

  3. Brian Ricks, Bhavani Thuraisingham, and Patrick Tague, "Mimicking Human Behavior in Shared-Resource Computer Networks", IEEE Intl Conference on Information Reuse and Integration for Data Science (IRI), Jul 2019. [pdf,bib]

  4. Brian Ricks, Bhavani Thuraisingham, and Patrick Tague, "Lifting the Smokescreen: Detecting Underlying Anomalies During a DDoS Attack", IEEE Intelligence and Security Informatics (ISI), Nov 2018. (best paper award) [pdf,bib]

  5. Brian Ricks, Patrick Tague, and Bhavani Thuraisingham, "Large-Scale Realistic Network Data Generation on a Budget", IEEE Intl Conference on Information Reuse and Integration for Data Science (IRI), Jul 2018. (best paper award) [pdf,bib]

  6. Brian Ricks and Patrick Tague, "Isolation of Multiple Anonymous Attackers in Mobile Networks", 9th International Conference on Network and System Security, Nov 2015. [pdf,bib]

  7. Brian Ricks, Craig Harrison, and Ole J. Mengshoel, "Integrating Probabilistic Reasoning and Statistical Quality Control Techniques for Fault Diagnosis in Hybrid Domains", Annual Conference of the Prognostics and Health Management Society (PHM), Sep 2011. [bib]

  8. Brian Ricks and Ole J. Mengshoel, "Diagnosing Intermittent and Persistent Faults Using Static Bayesian Networks", 21st International Workshop on Principles of Diagnosis (DX), Oct 2010. [bib]

  9. Brian Ricks and Ole J. Mengshoel, "Methods for Probabilistic Fault Diagnosis: An Electrical Power System Case Study", Annual Conference of the Prognostics and Health Management Society (PHM), Sep 2009. [bib]

  10. Brian Ricks and Ole J. Mengshoel, "The Diagnostic Challenge Competition: Probabilistic Techniques for Fault Diagnosis in Electrical Power Systems", 20th International Workshop on Principles of Diagnosis (DX), Jun 2009. [bib]