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Journal Articles
- 2024
[j15]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: 97712-97725 (2024)- [j14]Gulsipat Abisheva, Nikolaj Goranin, Bibigul Razakhova, Tolegen Aidynov, Dina Satybaldina:
Specifics of Data Collection and Data Processing during Formation of RailVista Dataset for Machine Learning- and Deep Learning-Based Applications. Sensors 24(16): 5239 (2024) - 2022
- [j13]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): 102-115 (2022) - 2021
- [j12]Aleksandr Lapusinskij, Ivan Suzdalev, Nikolaj Goranin, Justinas Janulevicius, Simona Ramanauskaite, Gintautas Stankunavicius:
The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds. Sensors 21(17): 5821 (2021) - 2020
- [j11]Donatas Vitkus, Justina Jezukeviciute, Nikolaj Goranin:
Dynamic Expert System-Based Geographically Adapted Malware Risk Evaluation Method. Int. J. Comput. Commun. Control 15(3) (2020) - 2019
- [j10]Aliaksei Kolesau, Dmitrij Sesok, Nikolaj Goranin, Mindaugas Rybokas:
Experimental Evaluation of Memory Capacity of Recurrent Neural Networks. Balt. J. Mod. Comput. 7(1) (2019) - [j9]Donatas Vitkus, Zilvinas Steckevicius, Nikolaj Goranin, Diana Kalibatiene, Antanas Cenys:
Automated Expert System Knowledge Base Development Method for Information Security Risk Analysis. Int. J. Comput. Commun. Control 14(6): 743-758 (2019) - [j8]Zenonas Turskis, Nikolaj Goranin, Assel Nurusheva, Seilkhan Boranbayev:
Information Security Risk Assessment in Critical Infrastructure: A Hybrid MCDM Approach. Informatica 30(1): 187-211 (2019) - [j7]Dainius Ceponis, Nikolaj Goranin:
Evaluation of Deep Learning Methods Efficiency for Malicious and Benign System Calls Classification on the AWSCTD. Secur. Commun. Networks 2019: 2317976:1-2317976:12 (2019) - 2018
- [j6]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) - 2017
- [j5]Laima Kauspadiene, Antanas Cenys, Nikolaj Goranin, Simon Tjoa, Simona Ramanauskaite:
High-Level Self-Sustaining Information Security Management Framework. Balt. J. Mod. Comput. 5(1): 107-123 (2017) - 2016
- [j4]Justinas Janulevicius, Simona Ramanauskaite, Nikolaj Goranin, Antanas Cenys:
Content Based Model Transformations: Solutions to Existing Issues with Application in Information Security. Int. J. Comput. Commun. Control 11(2): 233-247 (2016) - 2015
- [j3]Simona Ramanauskaite, Nikolaj Goranin, Antanas Cenys, Jonas Juknius:
Modelling influence of Botnet features on effectiveness of DDoS attacks. Secur. Commun. Networks 8(12): 2090-2101 (2015) - 2013
- [j2]Simona Ramanauskaite, Dmitrij Olifer, Nikolaj Goranin, Antanas Cenys:
Security Ontology for Adaptive Mapping of Security Standards. Int. J. Comput. Commun. Control 8(6): 878-890 (2013) - 2012
- [j1]Vaidas Juzonis, Nikolaj Goranin, Antanas Cenys, Dmitrij Olifer:
Specialized Genetic Algorithm Based Simulation Tool Designed For Malware Evolution Forecasting. Ann. UMCS Informatica 12(4): 23-37 (2012)
Conference and Workshop Papers
- 2022
- [c3]Nana Kwame Gyamfi, Dainius Ceponis, Nikolaj Goranin:
Automated System-Level Anomaly Detection and Classification Using Modified Random Forest. ICAIC 2022: 1-8 - 2018
- [c2]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: 23-32 - 2017
- [c1]Dmitrij Olifer, Nikolaj Goranin, Justinas Janulevicius, Arnas Kaceniauskas, Antanas Cenys:
Improvement of Security Costs Evaluation Process by Using Data Automatically Captured from BPMN and EPC Models. Business Process Management Workshops 2017: 698-709
Coauthor Index
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