Christopher S. Oehmen

Publication Activity (10 Years)

Years Active: 2005-2016
Publications (10 Years): 4

Top Topics

Event Recognition

Moving Target Defense

Multiprocessor Systems

Top Venues

IEEE Symposium on Security and Privacy Workshops

Publications

Christopher S. Oehmen, Paul J. Bruillard, Brett D. Matzke, Aaron R. Phillips, Keith T. Star, Jeffrey L. Jensen, Doug Nordwall, Seth R. Thompson, Elena S. Peterson
LINEBACKER: LINE-Speed Bio-Inspired Analysis and Characterization for Event Recognition. IEEE Symposium on Security and Privacy Workshops (2016)
Usman Rauf, Fida Gillani, Ehab Al-Shaer, Mahantesh Halappanavar, Samrat Chatterjee, Christopher S. Oehmen
Formal Approach for Resilient Reachability based on End-System Route Agility. MTD@CCS (2016)
Nicholas J. Multari, Anoop Singhal, David O. Manz, Robert Cowles, Jorge Cuéllar, Christopher S. Oehmen, Gregory Shannon
SafeConfig'16: Testing and Evaluation for Active & Resilient Cyber Systems Panel Verification of Active and Resilient Systems: Practical or Utopian? SafeConfig@CCS (2016)
Christopher S. Oehmen, Elena S. Peterson, Aaron R. Phillips, Darren S. Curtis
A Biosequence-Based Approach to Software Characterization. IEEE Symposium on Security and Privacy Workshops (2016)
Christopher S. Oehmen, Thomas E. Carroll, Patrick C. Paulson, Daniel M. Best, Christine F. Noonan, Seth R. Thompson, Jeffrey L. Jensen, Glenn A. Fink, Elena S. Peterson
Behavior-dependent Routing: Responding to Anomalies with Automated Low-cost Measures. SafeConfig@CCS (2015)
Christopher S. Oehmen, Ehab Al-Shaer, Mohammad Ashiqur Rahman
Automated Decision Making for Active Cyber Defense: Panel Discussion. SafeConfig@CCS (2015)
Ehab Al-Shaer, Christopher S. Oehmen, Mohammad Ashiqur Rahman
SafeConfig 2015: Workshop on Automated Decision Making for Active Cyber Defense. CCS (2015)
Christopher S. Oehmen, Douglas J. Baxter
ScalaBLAST 2.0: rapid and robust BLAST calculations on multiprocessor systems. Bioinform. 29 (6) (2013)
Christopher S. Oehmen, Elena S. Peterson, Jeremy Teuton
Evolutionary drift models for moving target defense. CSIIRW (2013)
Elena S. Peterson, Darren S. Curtis, Aaron R. Phillips, Jeremy Teuton, Christopher S. Oehmen
A generalized bio-inspired method for discovering sequence-based signatures. ISI (2013)
Christopher A. Barber, Christopher S. Oehmen
An efficient machine learning approach to low-complexity filtering in biological sequences. CIBCB (2012)
Glenn A. Fink, Kenneth S. Berenhaut, Christopher S. Oehmen
Directional Bias and Pheromone for Discovery and Coverage on Networks. SASO (2012)
Glenn A. Fink, Christopher S. Oehmen, Jereme N. Haack, A. David McKinnon, Errin W. Fulp, Michael B. Crouse
Bio-Inspired Enterprise Security. SASO (2011)
Arzu Gosney, John H. Miller, Ian Gorton, Christopher S. Oehmen
An Adaptive Middleware Framework for Optimal Scheduling on Large Scale Compute Clusters. ITNG (2011)
Bobbie-Jo M. Webb-Robertson, William R. Cannon, Christopher S. Oehmen, Anuj R. Shah, Vidhya Gurumoorthi, Mary S. Lipton, Katrina M. Waters
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinform. 26 (13) (2010)
Arzu Gosney, Christopher S. Oehmen, Adam Wynne, Justin Almquist
An adaptive middleware framework for Scientific Computing at extreme scales. IRI (2010)
Anuj R. Shah, Joshua N. Adkins, Douglas J. Baxter, William R. Cannon, Daniel G. Chavarría-Miranda, Sutanay Choudhury, Ian Gorton, Deborah K. Gracio, Todd D. Halter, Navdeep Jaitly, John R. Johnson, Richard T. Kouzes, Matthew C. Macduff, Andrès Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic
Applications in Data-Intensive Computing. Adv. Comput. 79 (2010)
Christopher S. Oehmen, Elena S. Peterson, Scott Dowson
An organic model for detecting cyber-events. CSIIRW (2010)
Bobbie-Jo M. Webb-Robertson, Kyle G. Ratuiste, Christopher S. Oehmen
Physicochemical property distributions for accurate and rapid pairwise protein homology detection. BMC Bioinform. 11 (2010)
Bobbie-Jo M. Webb-Robertson, William R. Cannon, Christopher S. Oehmen, Anuj R. Shah, Vidhya Gurumoorthi, Mary S. Lipton, Katrina M. Waters
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinform. 24 (13) (2008)
Bobbie-Jo M. Webb-Robertson, Melissa M. Matzke, Christopher S. Oehmen
Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification. ICMLA (2008)
Darren S. Curtis, Elena S. Peterson, Christopher S. Oehmen
A Secure Web Application Providing Public Access to High-Performance Data Intensive Scientific Resources - ScalaBLAST Web Application. WEBIST (1) (2008)
Bobbie-Jo M. Webb-Robertson, Christopher S. Oehmen, Anuj R. Shah
A feature vector integration approach for a generalized support vector machine pairwise homology algorithm. Comput. Biol. Chem. 32 (6) (2008)
Anuj R. Shah, Christopher S. Oehmen, Bobbie-Jo M. Webb-Robertson
SVM-HUSTLE - an iterative semi-supervised machine learning approach for pairwise protein remote homology detection. Bioinform. 24 (6) (2008)
Anuj R. Shah, Christopher S. Oehmen, Jill Harper, Bobbie-Jo M. Webb-Robertson
Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms. Comput. Biol. Chem. 31 (2) (2007)
Bobbie-Jo M. Webb-Robertson, Elena S. Peterson, Mudita Singhal, Kyle R. Klicker, Christopher S. Oehmen, Joshua N. Adkins, Susan L. Havre
PQuad - a visual analysis platform for proteomic data exploration of microbial organisms. Bioinform. 23 (13) (2007)
Bobbie-Jo M. Webb-Robertson, Christopher S. Oehmen, William R. Cannon
Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics. ICMLA (2007)
Christopher S. Oehmen, Lee Ann McCue, Joshua N. Adkins, Katrina M. Waters, Tim Carlson, William R. Cannon, Bobbie-Jo M. Webb-Robertson, Douglas J. Baxter, Elena S. Peterson, Mudita Singhal, Anuj R. Shah, Kyle R. Klicker
Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge. SC (2006)
Christopher S. Oehmen, Douglas J. Baxter, Ryan W. Mooney, Shaun O'Leary, Tim Carlson
Bandwidth challenge - High throughput feature-matching analysis of biological spectral data. SC (2006)
Bobbie-Jo M. Webb-Robertson, Christopher S. Oehmen, Melissa M. Matzke
SVM-BALSA: Remote homology detection based on Bayesian sequence alignment. Comput. Biol. Chem. 29 (6) (2005)