Dainius Ceponis

According to our database, Dainius Ceponis authored at least 6 papers between 2018 and 2024.

Collaborative distances:

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

2024

An Empirical Determination of Optimum Artificial Intelligence Algorithm: Detection Using Signal-to-Noise Ratio Approach.

Nana Kwame Gyamfi, Nikolaj Goranin, Dainius Ceponis

IEEE Access, 2024

2022

Malware Detection Using Convolutional Neural Network, A Deep Learning Framework: Comparative Analysis.

Nana Kwame Gyamfi, Nikolaj Goranin, Dainius Ceponis, Antanas Cenys

J. Internet Serv. Inf. Secur., November, 2022

Automated System-Level Anomaly Detection and Classification Using Modified Random Forest.

Nana Kwame Gyamfi, Dainius Ceponis, Nikolaj Goranin

Proceedings of the 1st International Conference on AI in Cybersecurity, 2022

2019

Evaluation of Deep Learning Methods Efficiency for Malicious and Benign System Calls Classification on the AWSCTD.

Dainius Ceponis, Nikolaj Goranin

Secur. Commun. Networks, 2019

2018

Towards a Robust Method of Dataset Generation of Malicious Activity for Anomaly-Based HIDS Training and Presentation of AWSCTD Dataset.

Dainius Ceponis, Nikolaj Goranin

Balt. J. Mod. Comput., 2018

Towards a Robust Method of Dataset Generation of Malicious Activity on a Windows-Based Operating System for Anomaly-Based HIDS Training.

Dainius Ceponis, Nikolaj Goranin

Proceedings of the Joint Proceedings of Baltic DB&IS 2018 Conference Forum and Doctoral Consortium co-located with the 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018), 2018