Ram B. Basnet

According to our database, Ram B. Basnet authored at least 24 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

2022

CMU-SynTraffic-2022.

Drake Cullen, James Halladay, Nathan Briner, Ram B. Basnet

Dataset, May, 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

Dropout prediction in Moocs using deep learning and machine learning.

Ram B. Basnet, Clayton Johnson, Tenzin Doleck

Educ. Inf. Technol., 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

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

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

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

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

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

Fearing the Robot Apocalypse: Correlates of AI Anxiety.

David John Lemay, Ram B. Basnet, Tenzin Doleck

Int. J. Learn. Anal. Artif. Intell. Educ., 2020

Predictive analytics in education: a comparison of deep learning frameworks.

Tenzin Doleck, David John Lemay, Ram B. Basnet, Paul Bazelais

Educ. Inf. Technol., 2020

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

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

2018

Exploring computer science students' continuance intentions to use Kattis.

Ram B. Basnet, Tenzin Doleck, David John Lemay, Paul Bazelais

Educ. Inf. Technol., 2018

2015

The Critical Feature Dimension and Critical Sampling Problems.

Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar, Ram B. Basnet

Proceedings of the ICPRAM 2015, 2015

2014

Learning to Detect Phishing Webpages.

Ram B. Basnet, Andrew H. Sung

J. Internet Serv. Inf. Secur., 2014

2012

Feature Selection for Improved Phishing Detection.

Ram B. Basnet, Andrew H. Sung, Qingzhong Liu

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Mining Web to Detect Phishing URLs.

Ram B. Basnet, Andrew H. Sung

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2009

Event Detection and Localization Using Sensor Networks.

Ram B. Basnet, Srinivas Mukkamala

Proceedings of the 2009 International Conference on Wireless Networks, 2009

2008

Detection of Phishing Attacks: A Machine Learning Approach.

Ram B. Basnet, Srinivas Mukkamala, Andrew H. Sung

Proceedings of the Soft Computing Applications in Industry, 2008

2007

Gene Selection for Tumor Classification Using Microarray Gene Expression Data.

Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukkamala, Andrew H. Sung

Proceedings of the World Congress on Engineering, 2007

Knowledge Based Discovery of Phishing Attacks.

Ram B. Basnet, Krishna Yendrapalli, Tenzin Doleck, Srinivas Mukkamala, Andrew H. Sung

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Detecting Coordinated Distributed Multiple Attacks.

Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Basnet, Andrew H. Sung

Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007