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Dainius Ceponis
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 6
Top Topics
Operating System
Windows Nt
Anomaly Detection
Deep Learning
Top Venues
Secur. Commun. Networks
ICAIC
J. Internet Serv. Inf. Secur.
Balt. J. Mod. Comput.
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Publications
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Nana Kwame Gyamfi
,
Nikolaj Goranin
,
Dainius Ceponis
An Empirical Determination of Optimum Artificial Intelligence Algorithm: Detection Using Signal-to-Noise Ratio Approach.
IEEE Access
12 (2024)
Nana Kwame Gyamfi
,
Dainius Ceponis
,
Nikolaj Goranin
Automated System-Level Anomaly Detection and Classification Using Modified Random Forest.
ICAIC
(2022)
Nana Kwame Gyamfi
,
Nikolaj Goranin
,
Dainius Ceponis
,
Antanas Cenys
Malware Detection Using Convolutional Neural Network, A Deep Learning Framework: Comparative Analysis.
J. Internet Serv. Inf. Secur.
12 (4) (2022)
Dainius Ceponis
,
Nikolaj Goranin
Evaluation of Deep Learning Methods Efficiency for Malicious and Benign System Calls Classification on the AWSCTD.
Secur. Commun. Networks
2019 (2019)
Dainius Ceponis
,
Nikolaj Goranin
Towards a Robust Method of Dataset Generation of Malicious Activity for Anomaly-Based HIDS Training and Presentation of AWSCTD Dataset.
Balt. J. Mod. Comput.
6 (3) (2018)
Dainius Ceponis
,
Nikolaj Goranin
Towards a Robust Method of Dataset Generation of Malicious Activity on a Windows-Based Operating System for Anomaly-Based HIDS Training.
Doctoral Consortium/Forum@DB&IS
(2018)