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Ashrith Barthur
Ashrith Barthur
H2O.ai, CERIAS, Purdue University
Verified email at h2o.ai
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Cited by
Year
Divide and recombine (D&R) data science projects for deep analysis of big data and high computational complexity
W Tung, A Barthur, MC Bowers, Y Song, J Gerth, WS Cleveland
Japanese Journal of Statistics and Data Science 1, 139-156, 2018
72018
A streaming statistical algorithm for detection of SSH keystroke packets in TCP connections
S Guha, P Kidwell, A Barthur, WS Cleveland, J Gerth, C Bullard
Operations Research, Computing, and Homeland Defense. Institute for …, 2011
62011
Divide & recombine for big data analysis for cybersecurity: application of dns blacklist query study
A Barthur, WS Cleveland, J Gerth
Proceedings of the 15th Annual Information Security Symposium, 1-1, 2014
22014
Computational environment for modeling and analysing network traffic behaviour using the divide and recombine framework
A Barthur
Purdue University, 2016
12016
CERIAS Tech Report 2016-6 Computational Environment for Modeling and Analysing Network Traffic Behaviour using the Divide and Recombine Framework
A Barthur
DIVIDE & RECOMBINE (D&R), RHIPE, AND RIPOSTE FOR LARGE COMPLEX DATA
S Guha, A Barthur, B Cleveland, P Gautier, X Han, J Li, J Troisi, B Xi, ...
Information Assurance Analysis & Strategy
A Malki, A Barthur, D LaPorte, G McCarthy, L Sanborn
ICS 2011
S Guha, P Kidwell, A Barthur, WS Cleveland, J Gerth, C Bullard
Detection of SSH Keystroke Packets in TCP Connections
S Guha, P Kidwell, A Barthur, WS Cleveland, J Gerth
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Articles 1–9