Jeffrey S. Chavis

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Supervised Machine Learning

Top Venues

Publications

Jeffrey S. Chavis, Jeffrey G. Osborn, Daniel P. Syed, Reginald Terrell
Architecting an Enterprise-of-Enterprises with the 10-Layer Rubric: Transforming EoE Decision-Making. SysCon (2023)
Mandira Hegde, Gilles Kepnang, Mashail Al Mazroei, Jeffrey S. Chavis, Lanier A. Watkins
Identification of Botnet Activity in IoT Network Traffic Using Machine Learning. IDSTA (2020)
Jeffrey S. Chavis, Anna L. Buczak, Aviel D. Rubin, Lanier A. Watkins
Connected Home Automated Security Monitor (CHASM): Protecting IoT Through Application of Machine Learning. CCWC (2020)
Jeffrey S. Chavis, Anna L. Buczak, Aaron Kunz, Aviel D. Rubin, Lanier A. Watkins
A Capability for Autonomous IoT System Security: Pushing IoT Assurance to the Edge. SP Workshops (2020)
Jeffrey S. Chavis, Daniel P. Syed
Envisioning Cybersecurity Analytics for the Internet of Things. 5G World Forum (2020)
Daniel S. Berman, Anna L. Buczak, Jeffrey S. Chavis, Cherita L. Corbett
A Survey of Deep Learning Methods for Cyber Security. Inf. 10 (4) (2019)
Lanier A. Watkins, Sean Beck, Jared Zook, Anna L. Buczak, Jeffrey S. Chavis, William H. Robinson, Jose Andre Morales, Samuel Mishra
Using semi-supervised machine learning to address the Big Data problem in DNS networks. CCWC (2017)
Anna L. Buczak, Daniel S. Berman, Sean W. Yen, Lanier A. Watkins, Lien T. Duong, Jeffrey S. Chavis
Using sequential pattern mining for common event format (CEF) cyber data. CISRC (2017)
Anna L. Buczak, Paul A. Hanke, George J. Cancro, Michael K. Toma, Lanier A. Watkins, Jeffrey S. Chavis
Detection of Tunnels in PCAP Data by Random Forests. CISRC (2016)