Detecting Coordinated Distributed Multiple Attacks. - Srinivas Mukkamala; Krishna Yendrapalli; Ram B. Basnet; Andrew H. Sung (AINA Workshops (1), 2007)

Knowledge Based Discovery of Phishing Attacks. - Ram B. Basnet; Krishna Yendrapalli; Tenzin Doleck; Srinivas Mukkamala; Andrew H. Sung (IICAI, 2007)

Gene Selection for Tumor Classification Using Microarray Gene Expression Data. - Krishna Yendrapalli; Ram B. Basnet; Srinivas Mukkamala; Andrew H. Sung (World Congress on Engineering, 2007)

Detection of Phishing Attacks: A Machine Learning Approach. - Ram B. Basnet; Srinivas Mukkamala; Andrew H. Sung (Soft Computing Applications in Industry, 2008)

Event Detection and Localization Using Sensor Networks. - Ram B. Basnet; Srinivas Mukkamala (ICWN, 2009)

Mining Web to Detect Phishing URLs. - Ram B. Basnet; Andrew H. Sung (ICMLA (1), 2012)

Feature Selection for Improved Phishing Detection. - Ram B. Basnet; Andrew H. Sung; Qingzhong Liu (IEA/AIE, 2012)

Learning to Detect Phishing Webpages. - Ram B. Basnet; Andrew H. Sung (J. Internet Serv. Inf. Secur., 2014)

The Critical Feature Dimension and Critical Sampling Problems. - Bernardete Ribeiro; Andrew H. Sung; Divya Suryakumar; Ram B. Basnet (ICPRAM (1), 2015)

Exploring computer science students' continuance intentions to use Kattis. - Ram B. Basnet; Tenzin Doleck; David John Lemay; Paul Bazelais (Educ. Inf. Technol., 2018)

Social network analysis of twitter use during the AERA 2017 annual conference. - David John Lemay; Ram B. Basnet; Tenzin Doleck; Paul Bazelais (Educ. Inf. Technol., 2019)

Towards Detecting and Classifying Network Intrusion Traffic Using Deep Learning Frameworks. - Ram B. Basnet; Riad Shash; Clayton Johnson; Lucas Walgren; Tenzin Doleck (J. Internet Serv. Inf. Secur., 2019)

Predictive analytics in education: a comparison of deep learning frameworks. - Tenzin Doleck; David John Lemay; Ram B. Basnet; Paul Bazelais (Educ. Inf. Technol., 2020)

Fearing the Robot Apocalypse: Correlates of AI Anxiety. - David John Lemay; Ram B. Basnet; Tenzin Doleck (Int. J. Learn. Anal. Artif. Intell. Educ., 2020)

Examining the Relationship between Threat and Coping Appraisal in Phishing Detection among College Students. - David John Lemay; Ram B. Basnet; Tenzin Doleck (J. Internet Serv. Inf. Secur., 2020)

Towards Detecting and Classifying Malicious URLs Using Deep Learning. - Clayton Johnson; Bishal Khadka; Ram B. Basnet; Tenzin Doleck (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020)

Feature Engineering and Machine Learning Model Comparison for Malicious Activity Detection in the DNS-Over-HTTPS Protocol. - Matthew Behnke; Nathan Briner; Drake Cullen; Katelynn Schwerdtfeger; Jackson Warren; Ram B. Basnet; Tenzin Doleck (IEEE Access, 2021)

Application of Deep Learning on the Characterization of Tor Traffic using Time based Features. - Clayton Johnson; Bishal Khadka; Ethan Ruiz; James Halladay; Tenzin Doleck; Ram B. Basnet (J. Internet Serv. Inf. Secur., 2021)

Evaluation of Synthetic Data Generation Techniques in the Domain of Anonymous Traffic Classification. - Drake Cullen; James Halladay; Nathan Briner; Ram B. Basnet; Jeremy Bergen; Tenzin Doleck (IEEE Access, 2022)

Detection and Characterization of DDoS Attacks Using Time-Based Features. - James Halladay; Drake Cullen; Nathan Briner; Jackson Warren; Karson Fye; Ram B. Basnet; Jeremy Bergen; Tenzin Doleck (IEEE Access, 2022)

Dropout prediction in Moocs using deep learning and machine learning. - Ram B. Basnet; Clayton Johnson; Tenzin Doleck (Educ. Inf. Technol., 2022)

Switching intentions in the context of open-source software movement: The paradox of choice. - David John Lemay; Ram B. Basnet; Tenzin Doleck (Educ. Inf. Technol., 2022)

CMU-SynTraffic-2022. - Drake Cullen; James Halladay; Nathan Briner; Ram B. Basnet (IEEE DataPort, 2022)

Tabular-to-Image Transformations for the Classification of Anonymous Network Traffic Using Deep Residual Networks. - Nathan Briner; Drake Cullen; James Halladay; Darrin Miller; Riley Primeau; Abraham Avila; Ram B. Basnet; Tenzin Doleck (IEEE Access, 2023)