Detection of Tunnels in PCAP Data by Random Forests. - Anna L. Buczak; Paul A. Hanke; George J. Cancro; Michael K. Toma; Lanier A. Watkins; Jeffrey S. Chavis (CISRC, 2016)

Using semi-supervised machine learning to address the Big Data problem in DNS networks. - Lanier A. Watkins; Sean Beck; Jared Zook; Anna L. Buczak; Jeffrey S. Chavis; William H. Robinson; Jose Andre Morales; Samuel Mishra (CCWC, 2017)

Using sequential pattern mining for common event format (CEF) cyber data. - Anna L. Buczak; Daniel S. Berman; Sean W. Yen; Lanier A. Watkins; Lien T. Duong; Jeffrey S. Chavis (CISRC, 2017)

A Survey of Deep Learning Methods for Cyber Security. - Daniel S. Berman; Anna L. Buczak; Jeffrey S. Chavis; Cherita L. Corbett (Inf., 2019)

Envisioning Cybersecurity Analytics for the Internet of Things. - Jeffrey S. Chavis; Daniel P. Syed (5G World Forum, 2020)

Connected Home Automated Security Monitor (CHASM): Protecting IoT Through Application of Machine Learning. - Jeffrey S. Chavis; Anna L. Buczak; Aviel D. Rubin; Lanier A. Watkins (CCWC, 2020)

Identification of Botnet Activity in IoT Network Traffic Using Machine Learning. - Mandira Hegde; Gilles Kepnang; Mashail Al Mazroei; Jeffrey S. Chavis; Lanier A. Watkins (IDSTA, 2020)

A Capability for Autonomous IoT System Security: Pushing IoT Assurance to the Edge. - Jeffrey S. Chavis; Anna L. Buczak; Aaron Kunz; Aviel D. Rubin; Lanier A. Watkins (SP (Workshops), 2020)

Distributed Ledgers for Enhanced Machine-to-Machine Trust in Smart Cities. - Cameron Hickert; Ali Tekeoglu; Joseph Maurio; Ryan Watson; Daniel P. Syed; Jeffrey S. Chavis; Gill Brown; Tamim Sookoor (ICCCN, 2022)

Trust Me, I'm Lying: Enhancing Machine-to-Machine Trust. - Cameron Hickert; Ali Tekeoglu; Ryan Watson; Joseph Maurio; Daniel P. Syed; Jeffrey S. Chavis; Gill Brown; Tamim Sookoor (ICCPS, 2022)

Architecting an Enterprise-of-Enterprises with the 10-Layer Rubric: Transforming EoE Decision-Making. - Jeffrey S. Chavis; Jeffrey G. Osborn; Daniel P. Syed; Reginald Terrell (SysCon, 2023)